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Sovereign & On-Premise AI
Open-weight models — Llama, Gemma, Mistral, GPT-OSS — on your GPUs, served via vLLM / SGLang behind nginx gateways with health-aware failover. Zero data leaves the building.
PRIVATE AI · CONNECTED EXPERIENCES
Intelligence.
On your terms.
We build private AI, voice interfaces, knowledge engines, and analytics around your data — for government and enterprise. Self-hosted by default. Designed for the way your organisation works.
Your models. Your infrastructure. Your choice. We connect the intelligence to the work that matters.
Your infrastructure. Your intelligence.AI engineering · Conversation · Knowledge work
SYSTEM 01 / CONVERSATION IN MOTION
Listen → ground → respondPreparing the workflow preview…
Sources → evidence → answerPreparing the workflow preview…
Question → validation → chartPreparing the workflow preview…
Illustrative workflow · self-hosted by default.
- Documents in production RAG
- 30K+
- LLM cost reduction
- 90%
- Tables queried by chat
- 400+
- On-premise capable
- 100%
START WITH YOUR USE CASE
Your next system.
Mapped in two choices.
Explore an example model path and the engineering around it.
01 / YOUR CONTEXTAuthorized documents
→02 / HELLIOS ENGINEERINGRetrieval + self-hosted LLM
→03 / THE EXPERIENCESource-linked response
A permission-aware knowledge workflow with evidence-backed answers. Final model choice and deployment are evaluated against your requirements.
THE HELLIOS UNIVERSE
Many capabilities.
One connected system.
Explore the intelligence at the center of our work. Select a sun segment or a point on the rings to see what we build.
KnowledgeConversationDigital systems
See how the pieces connect ↗THE HELLIOS UNIVERSE
SELECT A SUN SEGMENT OR AN ORBIT POINT
01 / CORE INTELLIGENCE
Sovereign AI
Production AI on infrastructure you control. Private models, on-premise deployment, and no forced cloud dependency.
Explore the capability01 / WHO WE ARE
Two divisions. One loop: power reads data, data reads power.
Hellios Intelligence is a New Delhi-based technology company. The AI & Digital Division builds sovereign, production-grade AI for government, PSU, and enterprise — systems that run on infrastructure the client controls, with no forced cloud dependency.
Our sister Energy Division launches later — and when it does, every install becomes live data our AI stack already knows how to read.
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Sovereign by default
For fully on-premise deployments, processing stays on your infrastructure.
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Production, not prototypes
Systems live at national venues and government departments.
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Cost as a constraint
90% LLM API cost reduction — measured, in production.
02 / CAPABILITIES
The full AI stack, under one roof.
10 PRACTICES — ALL PRODUCTION-PROVEN
No matching capabilities. Try another search or choose All.
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RAG & Knowledge Engines
30,000+ documents, ~1.5 lakh pages in production. Hybrid retrieval, cross-encoder reranking, relevance gating — an answer or an honest refusal, never a hallucination.
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Conversational Analytics — Text-to-SQL
Chat over 400+ table government schemas with read-only guardrails and self-healing SQL. One question in → SQL → chart → narrative out.
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Voice AI & Avatars
Full-duplex speech-to-speech with barge-in and sub-second latency — Hindi, English, Hinglish. Telephony agents and kiosk avatars, live at national venues.
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Fine-Tuning & Alignment
SFT, LoRA / QLoRA, GRPO, DPO — with synthetic data pipelines, embedding dedup and solvability filtering.
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Agentic Systems
Multi-agent orchestration, skill registries, and tool-calling with guardrails against runaway loops. Automation that stays on the rails.
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Document Intelligence
Multi-tier OCR with vision-model fallback, table-aware extraction, and compliance rules engines with confidence scoring.
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Computer Vision
Custom YOLO detection trained on drone and industrial footage; medical screening; safety and defect monitoring.
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Data Engineering & Forecasting
ClickHouse / Postgres pipelines, anomaly detection, time-series forecasting — and cost discipline that cut LLM spend 90% in production.
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Design & Platform Engineering
React / Next.js frontends, FastAPI backends, WebSocket streaming interfaces, Docker → AWS. The product around the model — the part users actually touch.
03 / PROOF
Numbers from production.
30K+
DOCS INDEXED IN LIVE RAG SYSTEMS
~150K
PAGES SERVED TO END USERS
90%
LLM API COST CUT IN PRODUCTION
400+
TABLES QUERIED VIA NATURAL LANGUAGE
DEPLOYMENT CONTEXTS
- Government & PSU
- National venues & events
- Regulated enterprise
- State data centres
04 / HOW WE WORK
From brief to production, fast.
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STEP 01
Discover
We map your data, constraints, and sovereignty requirements. A fixed-scope pilot is defined in week one.
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STEP 02
Pilot
A working system on your real data in 2–4 weeks, measured against agreed accuracy and latency targets.
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STEP 03
Harden
Guardrails, evals, monitoring, failover. The unglamorous 80% that makes AI survive production.
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STEP 04
Operate
Handover or managed operation. Versioned models, documented runbooks, zero lock-in.
INTELLIGENCE YOU CAN WORK WITH
Ask a question.
Build a working view.
Live dashboards, connected knowledge, interactive tools, and visual reports. Hellios builds these experiences around self-hosted intelligence or a model selected by your team.
CUSTOM SYSTEMS · PILOT DISCUSSIONSYour data.
Compare deployment options ↗
Your data.
Your interface.
Your deployment.
Our proprietary application and orchestration technology connects the model to your databases, documents, and business tools. We build the retrieval, validation, rendering, permissions, and review workflow around it.
Conversational dashboardsQuestions become validated queries, charts, and explanations.
Interactive work toolsCalculators, review panels, and connected task interfaces.
Reports & visual explainersEvidence-backed documents, presentation drafts, and code-driven animated charts.
HELLIOS / ANALYTICS WORKSPACEILLUSTRATIVE DATA
“Show quarterly orders by region.”
WATCH THE WORKFLOW · SIMULATED
- 01Understand
- 02Generate SQL
- 03Load sample data
- 04Build chart
A visual demonstration using the sample data below. No API or database request.
Sample orders240
Selected viewAll regions
Inspect the example query
SELECT quarter, SUM(orders) FROM sample_orders GROUP BY quarter ORDER BY quarter;
Showing all regions: 240 sample orders.
Question → query → chart
Read-only access, validated SQL, visible source queries, refresh timestamps, and permission-aware sharing.
Evidence → answer → draft
Document retrieval, source-linked answers, structured reports, and reviewer-ready outputs.
Intent → tool → approval
Custom integrations and MCP-compatible tools where supported, with permissions enforced by the application.
BUILT AROUND YOUR TEAM
Start with your workflow, your data, and your people. We connect approved sources to dashboards and useful tools, with self-hosted intelligence by default. Any alternative model or provider is selected with the customer and evaluated for the task.
05 / CONVERSATIONAL EXPERIENCES
Three interfaces.
One intelligent foundation.
Purpose-built experiences with self-hosted intelligence or your choice of model, in a physical space, a patient conversation, or an everyday knowledge workflow.
EXPERIENCE 01IN DEVELOPMENT
PHYSICAL CONVERSATION
Hellios Holobox
An AI presence people can speak to. We’re connecting holographic displays and animated avatars with voice, your chosen model, and an approved knowledge base.
- Natural questions through a voice interface
- Grounded answers from venue or brand content
- Human handoff when the answer needs one
For reception spaces, exhibitions & visitor experiences
EXPERIENCE 02IN DEVELOPMENT
CLINICIAN-REVIEWED VOICE
Hellios Care Voice
A patient calls, describes symptoms and history, and receives a doctor-reviewed follow-up. The selected model helps prepare the intake report and approved callback content.
- Consent-based intake and transcription
- Structured report for clinician review
- Callbacks with doctor-approved instructions
For clinics, outpatient teams & care coordinators
EXPERIENCE 03IN DEVELOPMENT
EVERYDAY KNOWLEDGE WORK
Hellios Knowledge
Turn scattered documents into useful answers and working drafts. Your selected model works with retrieved context to help teams find, understand, and act on their information.
- Permission-aware document retrieval
- Answers with source references
- Report drafts and reviewed tool actions
For internal operations, support & document-heavy teams
These are systems in development. Clinical assessment, diagnosis, and treatment decisions remain with the clinician.
06 / INSIDE THE SYSTEM
Your model choice.
Our connected platform.
Start with a self-hosted LLM, or select the intelligence layer that fits your requirements. Speech, retrieval, application tools, and human review turn model responses into usable experiences.
TWO MODEL PATHS. ONE HELLIOS EXPERIENCE.
Choose where intelligence runs.
Your team → permission checks → local model → approved dataPreparing the deployment preview…
EXAMPLE SELF-HOSTED PATH
EXPERIENCEPeople & interfacesVoice · holobox · dashboard
OUR TECHNOLOGYHellios platformRetrieval · tools · review · UI
CUSTOMER-CONTROLLED INTELLIGENCESelf-hosted LLMModels run on your infrastructure
Self-hosted deployment: models run on your infrastructure behind a local inference gateway. Hellios connects retrieval, tools, interfaces, and review controls. Any alternative model is selected with you.
Customer-selected pathChoose a model and deployment that meet your quality, cost, and data requirements. Hosted processing is used only when you choose it.
Sovereign pathRun open-weight LLMs on customer-controlled infrastructure, wrapped in Hellios-built proprietary software.
Comparable experience, evaluated separatelyDashboards, retrieval, and review workflows can follow the same design. Model quality, speed, and hardware requirements vary; we test the chosen stack against your use case.
TARGET ARCHITECTURE
A conversation with a physical presence.
From spoken question to a grounded answer, delivered through a holographic avatar.
- 01 / INPUT
Visitor speaks
Microphone captures the question; speech recognition produces a transcript.
- 02 / CONTEXT
Retrieve knowledge
Fetch relevant passages from the venue’s approved knowledge base.
- 03 / ON-PREM LLM
Generate a grounded reply
The self-hosted model uses the question, retrieved evidence, and conversation context.
- 04 / EXPERIENCE
Voice + avatar
Speech synthesis and avatar animation deliver the reply; unresolved questions go to staff.
The selected model drafts the response; separate speech and display components deliver the voice and holographic experience.
Context in. Useful output out.
Our integration design sends relevant evidence to the selected model from the backend, through a hosted API or a local inference gateway. Streaming supports responsive interfaces; schema-constrained reports make outputs easier to validate.
Tools with boundaries.
The selected model can request defined tools. The application validates arguments, permissions, and approval state before retrieving records, preparing a report, or scheduling an approved callback.
Explicit about where data goes.
Self-hosted workflows keep inference on customer-controlled infrastructure. Any alternative model connection follows your approved data policy. Credentials and tool execution stay on the backend.
EXPLORE THE FLOW
See the system
come together.
Play a workflow, scrub through its stages, and see how context, models, and review connect. These explainers illustrate our architecture.
Use the playback controls to play, pause, or inspect a moment. Animation starts when you choose to play.
07 / EVALUATION FRAMEWORK
A good answer
is only the beginning.
We evaluate each model path against the same use-case criteria, including query correctness, report fidelity, latency, and approval controls. Our evaluation plan covers the complete workflow: what the system heard, what it retrieved, what the selected model produced, and what action reached a person.
Test the system.
Review the outcome.
Repeat.
We’re defining representative cases and reviewer rubrics for each product. The aim is to compare versions against the same scenarios before expanding a pilot.
MEASUREMENT, NOT MARKETING
This is our planned evaluation framework. We’ll publish measured results when a defined benchmark and reviewed pilot are available.
Grounding & answer quality
Check source support, citation accuracy, missing evidence, and whether an unanswerable question triggers a useful handoff.
Method: held-out questions + source reviewConversation & speech
Test noise, accents, Hindi/English switching, interrupted speech, latency, and reliable transfer to a human.
Method: recorded scenarios + end-to-end timingMedical report fidelity
Have clinicians review symptoms, history, allergies, and medication details against the transcript. Verify that unapproved plans cannot reach a patient.
Method: de-identified cases + clinician rubricTool & workflow reliability
Exercise permission failures, malformed outputs, duplicate calls, revoked approvals, and API outages. Check the resulting state and audit trail.
Method: deterministic assertions + failure scenariosOUR PROPOSED RELEASE LOOP
Define evaluation criteria with our team
Define cases → Run the workflow → Score & review → Fix failures → Repeat before pilot expansion
08 / MORE PRODUCT CONCEPTS
From capability
to useful products.
The broader Hellios product portfolio, spanning analytics, documents, digital experiences, and voice automation.
Hellios Dashboard Copilot
Ask questions, build interactive dashboards, and inspect the queries behind the charts. Self-hosted by default, with the intelligence layer selected to meet your requirements.
For operations and finance teams
AI Website Builder
Turn a business brief into a website draft with model-assisted copy and page structure. Review the design before publishing.
For small businesses and agencies
Evidence & Compliance Copilot
Your chosen model drafts evidence-backed reviews of document packs. Rule checks, page references, and reviewer approval keep each decision traceable.
For compliance teams and reviewers
Tender & Bid Copilot
Read tender packs, extract eligibility and deadlines, and draft compliance matrices and bid responses grounded in your company’s documents.
For vendors and bid teams
Admissions Voice Desk
A multilingual phone assistant for fees, deadlines, eligibility, and application status. The assistant answers from approved material and hands exceptions to staff.
For universities and examination boards
Enterprise Knowledge Copilot
Search policies, manuals, and internal documents with cited answers. The selected model prepares summaries and action drafts within each user’s access permissions.
For support and internal operations teams
09 / TEAM
Built by people who've shipped it.
Aman Raj
CO-FOUNDER — AI & DIGITAL
AI/ML engineer with production systems across government & enterprise: sovereign LLM hosting, large-scale RAG, real-time voice AI, and fine-tuning. M.S. Computer Science (AI/ML), RIT — USA.
Utsav Raj
CO-FOUNDER — ENERGY
Electrical & electronics engineer. Prior experience at Power Grid Corporation of India, and on a 56-sensor industrial IoT generator anomaly-detection deployment.
Founders' prior experience was gained at earlier employers and forms the capability foundation of Hellios Intelligence, established 2026.
10 / BUILD WITH US
A space. A workflow.
A better conversation.
Have a holobox use case, a clinician-led voice workflow, or a knowledge problem worth solving? Let’s define the first pilot together.
Discuss a pilot