Helikai - IT Press Tour #66 Jan 2026

Transcript

1. Helikai™ Helikai™ Ross Fujii, Managing Director Jamie Lerner, Managing Director Introduction to Helikai IT Automation with AI Agents
2. Helikai™ Accelerating Business Transformation with AI Helikai is a mission-driven AI company dedicated to accelerating business transformation with precision, speed, and a focus on business outcomes. • Cross-disciplinary team of AI scientists, engineers & vertical subject matter experts • Deep expertise in Healthcare, M&E, Enterprise IT, Legal & Data Infrastructure • Proven track record with Fortune 500 companies • Bridging research with practical outcome-driven execution • Engineers working with Subject Matter Experts to automate routine tasks • Building AI Agents that work as collaborators or teammates to accelerate everyday work • Our team of industry veterans span:
3. Helikai™ AI is not One-Size-Fits-All: Macro vs. Micro AI Micro AI • Solution-focused, agentic design • One agent, one outcome → agents chain for complex workflows • Predictable cost, scope, and delivery timeline • Lightweight, flexible deployment: cloud or on-prem • Rapid results → agility to accelerate business outcomes Macro AI • General-purpose models trained on broad, non-specific datasets • Provider-specific behavior; results vary by version • Governance challenges around transparency and data control • Designed for large-scale enterprise deployments • Usage-based pricing, variable costs
4. Helikai™ Helikai AI Agent Methodology Proven Engagement Framework • AI Workshop: Identify Automation Use Cases & Document Requirements – Collaborate with stakeholders to capture unique business challenges and success criteria. MITRE Framework. • Select Purpose-Built Agent(s) – Choose from a curated catalog of Helibots aligned to the use case, or one will be developed. • Tailored Training & Integration– Data scientists and forward deployed engineers will train the selected Agent with customer’s proprietary data in a secure environment, integrating to existing systems • Validation & Acceptance – Joint testing with the customer to validate outputs against real-world tasks and KPIs. • Operate & Adapt – Ongoing subscription service keeps the Agent updated, continuously learning from evolving data. • Flexible Deployment –On-premises, cloud, or hybrid, based on enterprise requirements.
5. Helikai™ Helikai Platform • Helibots: Catalog of pre-built AI/ML agents, each designed to execute a discrete workflow step in key verticals. Helibots deliver rapid deployment and measurable outcomes without the overhead of custom development. • SPRAG: (Secure Private Retrieval Augmented Generation) Dedicated, private AI infrastructure that fuses large language models with your internal knowledge—securely, in real time. SPRAG ensures compliance, confidentiality, and performance through a fully configurable AI stack. • KaiFlow: A human-in-the-loop orchestration layer that guides and supervises Helibot execution. KaiFlow delivers accuracy, adaptability, and continuous learning by embedding expert oversight directly into AI-driven workflows. • Malama: A suite of performance optimization technologies that minimize AI/ML resource consumption (compute, power, cooling). Malama enables cost-efficient scaling and sustainable AI operations without compromising speed or accuracy. Map Client Data to process, sources & governance
6. Helikai™ Helikai AI Workshop • Step 1: Identify opportunities to automate business functions with AI Agents • Discuss and list potential projects, risks, impact on the business, and overall complexity • Get a sense of what use cases are natural fits for AI automation, and which to avoid • Step 2: Rank the automation opportunities by risk, complexity, & readiness (MITRE MM) • Stack rank the use cases to identify the ”low hanging fruit” to get started with • Ideally leveraging pre-built Helibots on a less complex, yet important use case • Tackling more complex use cases as AI sophistication and infrastructure maturity increases • Step 3: Select one use case that has a high ROI and low risk to focus on • While many projects may be appealing, it is critical to focus on the success of one use case • Step 4: Discuss and document the requirements for the target use case • Fully document the current workflow and desired automation outcomes, data inputs and outputs • Understand integration points with current systems • Document stakeholders, subject matter experts, IT contacts, key players in the project • Understand time frames, budget restraints, security requirements Agile Business Requirements Document Budget Estimate
7. Helikai™ MITRE AI Maturity Model Pillars
8. Helikai™ Secure & Private RAG for the Modern Business • Helikai SPRAG fuses the power of large language models with real-time, private retrieval of your internal knowledge sources • Private, traceable, and composable retrieval-augmented generation that ingests your knowledge base on-premises or in a locked-down cloud for grounded AI outputs (sovereign data never leaves the corporate boundaries) • Mitigates hallucination, ensures traceable responses, and enables context-specific generation without exposing proprietary or sensitive data • Deployment Options: • On-premises Appliance sized and validated with Helikai Alliance Partners for air-gapped environments • Customer Public Cloud (VPC) for tenant-isolated deployments under customer control. . • Hybrid combinations for staging, heavy compute bursts, or segmented data domains
9. Helikai™ SPRAG Features 1. Seamless Content & Data Ingest – Discovery, scanning, parsing, chunking, embedding • Supports information stored in: Directories, File Shares, Cloud Shares, Websites, S3 compliant Object Storage • Ingest parses wide variety of documents: Microsoft Office documents, PDF, TXT, RTF, CSV, GoogleDocs, OpenOffice OpenDocuments, HTML • Add-on for (customer specified) Rank-Tagging 2. Event-Based Intelligent Ingest – Can be enabled when new file uploads have been detected or new data arrives to ensure an up-to-date environment 3. Enterprise-Grade Vector Search & Content Summarization – Optimized for air-gapped data and tunable chunking strategies. 4. Advanced Prompt Fusion – Covering retrieved documents into token-optimized context blocks balancing relevance, compression, and formatting 5. Intuitive User Interface – Chatbot prompt (with text and voice inputs) 6. Helikai KaiFlow – For Traceability, Trust-building & Truth verification of generated answers • Chain-of-Thought Logging • Citation-Backed Outputs and Document Lineage • Human-in-the-Loop interaction with Helibot Platform • Audit Logging 7. Search & Index of Chat Content – Making it easy to find past conversations and topics you’ve used 8. Customizable RAG Stacks – Tuning for specific business verticals and use cases • Swap in commercial LLMs or use the latest open-source models along with different orchestrators • Domain-specific embedding support for improved semantic relevance in vertical use cases • Helikai Mālama to optimize prompts, implement safetensor models, refine models, training of models, etc. 9. Enterprise Grade Security – Authentication and Authorization, Secure data retrieval & governance, chain of custody auditing 10. Add-on IDP (Identity Provider) – Integrated Microsoft AD/LDAP authentication, Enterprise SSO (OIDC, SAML2), MFA/2FA, Passkeys, Client secret rotation, Fine-grained permissions, Account Management REST API, FIPS 140-2 Mode 11. Integrated to Agentic Capable Platform – Capability registration & context integration to Helibot Platform and function execution of Helibots 1. Document Generation (proposals, forms, legal filings, etc.)
10. Helikai™ Helikai Platform Services Helibot Platform SPRA G Mālama KaiFlow API OAuth CLI IDP Proxy/Router Cache Service Audit Object Handler File/Dir Crawler Website Crawler Ingest Pipeline Parsers Chunkers Embedders RAG Orchestrator N-Stage Frontend VectorDB RDBMS/Columnar Search RBAC Msg Queue API MCP Platform Orchestrator LLM: Open-Source LLM: Commercial Helibots Models: Open-Source • Huggingface Models • Nvidia Models • OpenAI Models • Etc. Models: Commercial • Provided under M-NDA OSS safetensors SLMs Model Refining Prompt Eng. Context
11. Helikai™ Helibot & SPRAG Deployment Models Helikai Enterprise • SPRAG Server(s) can be located • On Premise • In a Colo • Virtualized in a Public Cloud • Customer Manages the SPRAG Server • Upgrades and Patches • OS Level & Hardware Level • Helikai Product Support • Standard Support (9am-5pm M-F) • Premium Support (24x7x365) Helikai SaaS Cloud • Monthly SaaS model for Helibots and SPRAG • Data not shared or co-mingled with other customers • 12 Month minimum commitment • Zero physical infrastructure • Secure connectivity • Premium Support Included Helikai Pay-as-you-Go • Pay for per project, per file or document, per minute of video, per medical image, etc… • Pricing available for each Helibot
12. Helikai™ SPRAG Server – Turnkey On-Premises Deployment • Keep Your Data Secure & Private – Ensure no file, document, or bit of precious information leaves your premises without you knowing • Run on-premises with T-shirt sized Helikai Alliance Partner spec’d systems • Workloads Lab Validated with an SuperMicro • Public cloud tenant (via VPC) deployed via container images (with docker-compose or Kubernetes deployable options) SPRAG Model CPU GPU (Nvidia or Equiv.) Memory (RAM) SSD (Local Storage) Network Card Example Use Cases Small SKU #2221S 1 Gen4 XEON scalable (8 cores) 1 × RTX 6000 512 GB 20 TB 25G NIC 1. Mid-sized LLM (GPT-5B) inference chatbots 2. Internal legal document retrieval & summarization 3. Text-to-Image asset prototyping 4. Lab diagnostics microscopy image segmentation Medium SKU #2221M 2 Gen4 XEON scalable (16 cores) 2 × RTX 6000 1 TB 100 TB 100G NIC 1. Agentic IT Help-Desk & runbook automation 2. RAG-powered legal case research agent 3. Concurrent image & audio asset generation 4. Fine-tuning 7B-param LLM for regulatory filings Large SKU #4421L 2 Gen5 XEON scalable (32 cores) 1 × H100 2 TB 200 TB Smart NIC (ConnectX-7) 1. Genomic Variant Interpretation via RAG 2. Multi-Instance inference (MIG) for legal/life science pipelines 3. Production-grade/scale chatbots & recommendation engines 4. AI-accelerated color grading & look-dev for style/mood/tone X-Large SKU #4421X 2 Gen5 XEON scalable (56 cores) 2 × H100 4 TB 500 TB Smart NIC (ConnectX-7) 1. Agentic AI orchestration for enterprise legal research 2. Real-Time 8K video encode/decode & post-production 3. Enterprise-scale security analytics & threat hunting 4. Trillion-param LLM fine-tuning for drug discovery dialogues Custom** (incl. multi-node) ** Custom hardware server specs available based on end- customer workload, performance, requirements, and training versus inference expectations.
13. Helikai™ Helikai vs. Public AI Services Public AI Service • Widest range of data & use cases (B2C focused) • Built to be generic/widely used • Continuously Updated • Customer Data used to enhance learning models • Pay per usage/token/user • Can’t easily or securely access corporate data sources • Good for employee productivity, email, authoring, search • Prone to hallucinate due to scope of data • Low maintenance or IT involvement Helikai • Scoped to enterprise use cases (B2B focused) • Entirely secure, requires zero access to the internet • Fully access control • Your data is 100% private • Unlimited usage • Direct access to corporate data, systems, and resources • Entirely customizable to your enterprise priorities & goals • Enterprise grade accuracy • Ability to develop differentiated AI Intellectual Property • Highly complex and customized enterprise workflows • Customizable training models against proprietary data sources
14. Helikai™ Helikai™ Business / Technology / Rev Ops/ IT Use Cases
15. Helikai™ Technology/IT Catalog 1. Intelligent Document Handling (Process & Generation) 1. Inbound Document Processing: Our AI Agents extract structured data from invoices, POs, receipts, and forms using layout-aware parsing and domain-specific validation. They auto-populate ERP fields, flag anomalies, and trigger approval workflows—eliminating manual entry. 2. Outbound Document Generation: Agents synthesize CRM, product, and support data to generate proposals, complex product configs, pricing, quotations (CPQ), summaries, and customer emails. Each output is formatted to your brand standards, your product information, and can be reviewed or sent automatically. 3. Data Quality & Reconciliation: We detect duplicates, validate formats, and resolve mismatches across systems of record. This ensures clean, consistent data for downstream analytics and operations.
16. Helikai™ Technology/IT Catalog 1. Conversational Agents for Support & Sales: We deploy AI Agents trained on your product catalogs, support documentation, internal policies, and more to handle pre-sales inquiries, post-sale troubleshooting, and HR questions. These agents deliver consistent, contextual answers across chat, email, and portals—reducing ticket volume and improving response time. 2. Semantic Search Across Knowledge Silos: Our platform unifies fragmented knowledge bases—SharePoint, Slack, wikis, and operating procedures—into a searchable semantic layer. Users get relevant answers based on meaning, not just keywords, with built-in summarization and source of information. 3. Internal Enablement & Onboarding: AI Agents guide new employees through training materials, policy lookups, and system navigation. This accelerates onboarding and reduces dependency on live support teams. 2. Knowledge & FAQ Automation
17. Helikai™ Technology/IT Catalog 1. Multi-Step Task Execution: AI Agents orchestrate complex workflows like vendor onboarding, access provisioning, and case closure. Each step is modular, traceable, and adaptable to business logic and exceptions. 2. Enterprise App Integration via Functions API: Our agents connect directly to CRMs, ERPs, Helpdesks, IAM systems, and websites—reading, writing, and triggering actions securely. This enables real-time automation with full audit trails and role-based access. 3. IT Service Desk Support: Agents handle routine IAM tasks like password resets, access requests, and compliance checks. This reduces IT workload and improves response times for employees. 4. Conversational AI Insights & Reporting 1. Automated Report Generation: AI Agents pull data from multiple systems to create executive-ready summaries, dashboards, and performance snapshots. Reports are generated quickly and can be tailored to stakeholder needs. 2. Ad Hoc Query Handling: Business users can ask natural-language questions like “What’s our churn rate by region?” and receive accurate, contextual answers. This democratizes data access and speeds up decision-making. 3. Predictive & Prescriptive Analytics: Agents monitor trends, flag anomalies, and suggest next-best actions based on historical and real-time data. This empowers teams to act proactively rather than reactively. 3. Agentic Business Automation & Workflow
18. Helikai™ Sales, Revenue Optimization, & Pipeline Management Revenue Optimization Helibot Catalog 1. Data Driven Sales Forecasting Helibot 2. Pipeline Requirements to Hit Growth Targets Helibot 3. Territory Pipeline Health Inspection Helibot 4. Existing Install Base Cross-Sell Opportunities Helibot 5. Whitespace for Net New Prospects Helibot 6. Sales Outreach Helibot 7. Lead Nurturing Helibot 8. AI Driven Sales Quotes and Proposals 9. Opportunity Prioritization 10. Invoice Processing and Real Time Dynamic Queries 11. Renewal Automation 12. Support Case Triage with Focus on Customer Churn/Frustration Sales Pain Points Addressed Improve Sales Forecasts – Inaccurate forecasts driven by gut feel and siloed spreadsheets, leading to missed targets and inventory imbalances Focus Teams on High-Value Opportunities - Pipeline clutter where reps chase big deals with low close probability while high-value opportunities stagnate Identify Cross-sell Pockets in the Install Base - Untapped cross-sell potential due to lack of scalable customer usage insights and tailored account strategies Identify Whitespace & Target Net New Prospects – Inefficient prospecting as SDRs waste time on unqualified leads without firmographic or regional focus Generate Quotes with AI with Curated Docs – Slow, error-prone quote creation causing inconsistent pricing, margin erosion, and delayed deal closures Find and Correct Mis-aligned or Incorrect Quotes – Frequent fulfillment bottlenecks from front-end quotes misaligned with backend SKUs and part numbers Process Invoices & Unleash Dynamic Queries – Manual invoice processing and poor billing visibility inflating days-sales-outstanding and hampering cash flow Spot Potential Customer Churn Based on Poor Support – Hidden churn risks buried in support queues, delaying critical interventions causing customer attrition
19. Helikai™ Helikai™ Life Sciences, Health Sciences & Bioinformatics Use Cases
20. Helikai™ Life Sciences Catalog 1. AI-Powered Experimental Data Capture & Annotation: • Streamline biological data collection by guiding researchers through structured, real-time logging using voice, mobile, and intelligent prompts • Observations are automatically tagged, validated, and formatted to meet FAIR standards—reducing transcription errors and improving reproducibility • The result is clean, searchable datasets ready for analysis, collaboration, or publication 2. AI-Powered Literature Mining: • Scan large sets of scientific papers to extract relevant findings, methods, and biological entities—delivering curated insights quickly • Semantic search and NLP highlight key concepts across organisms, genes, and experimental techniques • Researchers save hours of manual review and gain immediate access to the most impactful literature. 3. Systems-Level Visualization & Network Modeling: • Transform complex biological relationships into interactive visual models that reveal patterns, dependencies, and system dynamics • Researchers can explore gene interactions, ecological flows, or protein networks with clarity and precision • These dynamic visuals accelerate hypothesis generation and cross-disciplinary insight. 4. Machine-Learning Guided Experimental Design: • Use predictive modeling to recommend optimal experimental setups based on historical data, published protocols, and user-defined goals • Variables like dosage, sample size, and environmental conditions are intelligently tuned to improve outcome reliability • Scientists reduce trial-and-error cycles and design experiments with greater confidence and efficiency
21. Helikai™ Health Sciences Catalog 1. AI-Enhanced Clinical Documentation & EHR Tagging: • Uses medical NLP to extract structured entities—such as diagnoses, procedures, medications, and lab results—from unstructured clinical notes and transcripts • Entities are mapped to standardized vocabularies (SNOMED CT) • The result is a searchable, interoperable clinical record that reduces documentation errors and improves care coordination across systems. 2. NLP-Powered Trial Eligibility Matching: 1. Apply NLP models to parse patient records and trial protocols, identifying semantic matches across diagnoses, biomarkers, medications, and history 2. Uses rule-based logic and ML scoring to evaluate inclusion/exclusion criteria and generate ranked candidate lists 3. Enables faster, more accurate trial recruitment directly from EHR data—without manual chart review. 4. Consent & Ethics Compliance Tracking: 1. Scan consent forms using OCR and NLP to extract key metadata—such as versioning, signatures, opt-in status, and jurisdictional clauses—and validates them against template 2. Patient preferences are tracked dynamically and linked to pseudonymized records 3. Compliance dashboards and audit logs are generated automatically, reducing regulatory risk and streamlining ethics oversight. 5. Predictive Risk Analytics for Population Health: 1. Ingests longitudinal health data—including EHRs, labs, and claims—and applies supervised ML models to predict risk for chronic conditions, hospitalization, or care gaps 2. Provide explainable insights into the drivers of risk across cohorts 3. Analysts and care teams use these outputs to stratify populations, prioritize outreach, and intervene earlier with data-backed precision.
22. Helikai™ Bioinformatics Catalog 1. AI-Powered Pipeline Automation & Reproducibility: Builds reproducible bioinformatics workflows that scale across labs, platforms, and collaborators. 2. Explainable AI for Genomic Predictions: Makes genomic AI models interpretable by visualizing feature contributions and tracing biological rationale. 3. Ontology-Aware Dataset Harmonization: Aligns biological datasets using semantic ontologies, enabling seamless cross-study integration and advanced meta-analysis. 4. Scalable Cloud Access for Advanced Bioinformatics: Provides cloud-based access to bioinformatics tools—empowering teams without local infrastructure or expertise.
23. Helikai™ Helikai™ M&E Use Cases
24. Helikai™ M&E Helibot Catalog 1. Multilingual subtitle generation: Instantly convert speech into readable, accurate subtitles across multiple languages, helping your content connect with viewers worldwide. No manual transcription, no delay! Add custom or unique names, expressions, and non-dictionary words. 2. Voice-over for dubbing, translation & animation: Automatically generate authentic-sounding narration for any character or language, perfect for animated films, marketing videos, or international campaigns. Voice cloning and expressive synthesis bring performances to life without a recording booth. 3. Multilingual translation & transcription of ending credits: Automatically transcribe and translate film credits into target languages, preserving role titles and formatting across cultures. Ideal for global distribution and localized versions. 2. Editorial & Workflow Automation 1. Automated ingest and metadata tagging: Bring all your footage in quickly and let our system identify scenes, speakers, and moments—automatically. It creates rich metadata from slates, faces, objects, actions, events, and more so your editors, marketers, and translators can find what they need in seconds. 2. Workflow initiation triggers based on incoming media properties: Whether it’s a new file upload, a script change, or a timeline update, our system knows when to kick off the next step. It automatically routes each asset to the right team—editorial, color, sound, or language. 3. Color grading, correction, and film colorization: Apply film-quality color grading and even re-color old footage with just a few clicks. From mood enhancement to era-specific looks, we make your content shine. 4. Advanced catalog indexing & search: Ability to search file data, meta-data to quickly find what you are interested in. 1. Language & Transcription
25. Helikai™ M&E Helibot Catalog 1. Background scene creation for LED walls or green screens: Replace location shoots with vivid, dynamic environments generated on demand. From bustling city streets to fantasy worlds, build the perfect backdrop for any scene without scouting or travel. 2. Background sound and music generation: Set the tone with AI-composed scores and ambient audio tailored to your visuals. Whether it's a haunting underscore or lively soundbed, audio enhances emotion and atmosphere — effortlessly. 3. Visual effects generation: Need an explosion, a stunt, or an animated creature? Generate blockbuster-level effects at a fraction of the cost, without a VFX team. It's cinematic spectacle, made scalable. 4. Creative & Production Prototyping 1. Concept scenes and director demos: Quickly render key moments of your vision — from mood pieces to character interactions — to win funding, spark collaboration, or refine creative decisions. No waiting on full production cycles. 2. Full short video generation for ads, storyboards, and branded content: Launch captivating video experiences without the overhead. Whether it's a punchy 30-second spot or a scripted mini-film, generate scenes that engage, convert, and impress. 3. Environment & Effects
26. Helikai™ M&E Helibot Catalog • Advertising & Logo Identification: How many times and for how long were logos displayed during a sporting event or across all games in a season. Incidents of visibility, the time of display, and the quality of visibility (in/out of focus). • Player Identification: Identify the player, name, number, face and the creation of meta-data tags for sporting event video. • Incident, event and play logging: Identification of key events and important moments in a sporting event (e.g., scores, dunks, game winning shots, crashes, etc.) and the creation of meta-data tags with timing for the sporting event video. 5. Sporting Events
27. Helikai™ M&E Helibot Catalog • Conform & Re-Conforms: The Conform/Re-Conform Helibot produces a log file that maps a video file to the raw camera footage in each shot. The Helibot breaks a video scene into shots, then scans raw camera footage to trace the final edited shot to the original raw camera footage. Currently if this is a manual process, even if the Helibot is not 100% accurate, it will save time for the artists. • Scratch, Dust, and Dirt Removal: We implement a series of scans that pass over a video format and find dust and dirt at the frame level and remediate these defects. Similarly, for large scratches that span across multiple frames, especially during high motion, the agent identifies the defect and makes multiple suggestions on how to remediate, prompting the artist on how it should proceed. • Audio Clean Up: Audio channels can often include background noise, hissing and humming noises, reverb, ambient noise, and noise level inconsistencies. The Audio Defect Helibot identifies these defects, marks begin and end, and offers automated repairs to the sound engineer. • Quality Assurance of Credits: The Credit Q/A Helibot can transcribe credits into a simple text format allowing what is onscreen to be compared to other text documents, like a master credits file, or other digital formats, ensuring the DSM, HDR, and DCP masters are consistent and accurate. 6. Film Restoration
28. Helikai™ Helikai™ Legal Use Cases
29. Helikai™ Legal Catalog Litigation Intelligence - Forecast outcomes and refine case strategies using past rulings and judge behaviors effectively. 1. Mines court records, prior filings, and legal databases to surface high-probability motion outcomes and judge tendencies. 2. Identifies how opposing counsel argues, their win/loss trends, and case settlements. 3. Attorneys can quickly tailor arguments and anticipate counter-moves. 4. Enables smarter forum selection and efficient resource allocation.
30. Helikai™ Legal Catalog Smart Depositions - Analyze cross-examinations, surface inconsistencies, & generate probing questions for effective legal strategies. 1. Uses NLP to scan, summarize, and annotate depositions. 2. Flags potential contradictions, inconsistent statements, or red flags—then auto-generates sample cross-exam questions based on those findings. 3. Lawyers receive both a summary dashboard and suggested lines of questioning. 4. Bridges the gap between deposition and courtroom strategy in record time.
31. Helikai™ Legal Catalog Motion Analyzer - Instantly critique opposing briefs and auto-draft persuasive motions grounded in precedent and logic. 1. Dissects the logic, structure, and precedent used in submitted motions—flagging weak arguments and suggesting counterpoints. 2. Integrates jurisdiction-specific precedent and generates first drafts or outlines for responsive motions. 3. With built-in style and tone alignment, the output matches the firm’s standards. 4. Lawyers can refine instead of rewriting from scratch.
32. Helikai™ Legal Catalog eDiscovery Prioritizataion - Elevate discovery insights with AI-driven prioritization, classification, and predictive tagging to save time. 1. Dissects the logic, structure, and precedent used in submitted motions—flagging weak arguments and suggesting counterpoints. 2. Integrates jurisdiction-specific precedent and generates first drafts or outlines for responsive motions. 3. With built-in style and tone alignment, the output matches the firm’s standards. 4. Lawyers can refine instead of rewriting from scratch.
33. Helikai™ Legal Catalog Document & Form Generation – Generate Corporate Filings and Forms to Save Time and Reduce Errors. 1. Generate corporate SEC regulatory filings, proxy statements, federal government and local state forms and applications 2. Generation based on corporate past history and internal file repository, company tone of voice, and updated quarterly data 3. Documents are secure, private and stored within your corporate boundaries.
34. Helikai™ Helikai™ Insurance Use Cases
35. Helikai™ Insurance Catalog – Are you covered? Indications of Responsibility or Insurance- Corporations execute contracts frequently. These contracts often imply responsibility for damages or require certain insurance coverage • Companies frequently send these contracts to their insurance company or broker asking; “Are we covered if we sign this contract?” • Insurance companies can receive hundreds, thousands, or tens of thousands of these requests a year, consuming thousands of man hours to read each contract and summarize the insurance implications. • The insurance Helibot mines contracts to find all forms for insurance requirements, transfer of liability, indemnification, and general responsibility for damages. • The results are put into simple tables listing all the insurance requirements and what type of insurance and limits are indicated within the contract. • The system can also compare the requirements to existing policies to ensure a client is covered and identify gaps.
36. Helikai™ Helikai™ Demos and Roadmap
37. Helikai™ Demo General SPRAG • Access Control, SSO • Bookmarks and Search • Concept: LLM vs Agent vs Prompt • On-Prem Instruction Tuned Models • Multiple LLMs (Local/Remote) • Prompt Engineering: Text, code, UI • Document Creation Templates FAQ Agent: General Semantic Access • Generally Available Large Data • Website, Docs, Intranet, file servers, catalogs • Product, General financial, Corporate Semantic Data Access Agent • Enterprise Data Sources (RDBMS, Warehouse/Data lake, BI, etc…) • Financial, Sales, Inventory, Orders, Shipments • Strict Access Control • Semantic and Fuzzy Definitions • Prompt and Prompt Engineering • Output & Templates (Reports, Spreadsheets)
38. Helikai™ 1H 2026 Roadmap SPRAG • AI Agent development templates • AI Agent development UI • Workflow/Pipeline templates • Integration with Power Automate, AI Builder, and N8N • Monitoring stats on SPRAG server, Agent usage, load, capacity • Qualify Furiosa Chip/RNGD Server • SPRAG Large Scale H/A and Clustering Helibots & Kaiflow • DICOM Image PPI Redaction Agent • Snowflake and SF.com semantic interface Agent • Pediatric Radiology Agent • Invoice Fraud Detection Agent • End credits Q/A Agent • Catalog Photography Generation Agent
39. Helikai™ THANK YOU
40. Helikai™ Helikai™
41. Helikai™ #1 Multilingual Subtitling at Scale Localization ready subtitles in hours, not weeks Pain Points: • Creating subtitles across dozens of languages is a slow, manual process that requires linguists, editors, & precise timing specialists • Turnaround time can delay international distribution (with markets that require cultural nuance and regulatory formatting • Human translation is expensive and inconsistently scalable when content volume spikes Helikai Solution • AI-driven speech-to-text transcription (via Whisper) • Combined with multilingual neural machine translation to produce subtitle drafts (~ 90% accurate) • Timing is auto aligned to spoken audio, and formatting adheres to global streaming standards • Editors can quickly review for nuance, slang, or style, dramatically reducing human workload • Our workflow also detects speaker changes and emotional tone to maintain context.
42. Helikai™ #1 Multilingual Subtitling at Scale Tool Purpose Notes ffmpeg Extract clean audio from video for transcription. Audio + original video merge. WhisperX Word-level timestamps + diarization Combines Whisper transcription with pyannote-audio for speaker labeling pyannote-audio Pure diarization model Requires Hugging Face token and model access MarianMT Translate transcript into target languages. Can be fine-tuned for domain-specific tone or slang. Whisply Full pipeline: transcribe, translate, diarize, subtitle CLI + GUI wrapper around WhisperX and faster-whisper Aeneas Align translated text with original audio timestamps. Time-coded subtitle segments. Workflow
43. Helikai™ #1 Multilingual Subtitling at Scale
44. Helikai™ #2 AI Voiceover & Dubbing Enables consistent, high-fidelity voiceover at a fraction of the cost and turnaround time Pain Points: • Dubbing / recording voiceover across multiple languages traditionally involves casting voice talent, booking studio time, & synchronizing post-record edits • Laborious when matching animation or live-action lip movement a d becomes cost-prohibitive at scale • Emotional range and character consistency are hard to maintain across different Voice Over (VO) actors Helikai Solution • Apply advanced Text-to-Speech (TTS) & voice cloning models to generate expressive, multilingual dialogue from script • With just a few minutes of reference audio, we can replicate original talent’s tone, cadence, and emotion across multiple languages • Our lip-syncing layer ensures that dubbed speech aligns with on-screen mouth movements—even for animated or synthetic characters • Voices can be fully synthetic or cloned and tuned for gender, age, and accent. This
45. Helikai™ #2 AI Voiceover & Dubbing Tool Purpose Notes ffmpeg Extract clean audio from video for transcription. Audio + original video merge. WhisperX Word-level timestamps + diarization Combines Whisper transcription with pyannote-audio for speaker labeling pyannote-audio Pure diarization model Requires Hugging Face token and model access MarianMT Translate transcript into target languages. Can be fine-tuned for domain-specific tone or slang. XTTSv2 / Dia Generate expressive multilingual speech TTS + Cloning Aeneas Align translated text with original audio timestamps. Time-coded subtitle segments. Workflow