C01
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.
AI & DIGITAL DIVISION — NEW DELHI, IN
Hellios Intelligence designs and ships production AI systems — on-premise LLMs, RAG knowledge engines, voice agents, and conversational analytics — for government and enterprise that can't afford hallucinations or cloud dependency.
deploying › sovereign LLM clusters
01 — WHO WE ARE
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.
Zero data leaves your infrastructure. Ever.
Systems live at national venues and government departments.
90% LLM API cost reduction — measured, in production.
02 — CAPABILITIES
10 PRACTICES — ALL PRODUCTION-PROVEN
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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.
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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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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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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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SFT, LoRA / QLoRA, GRPO, DPO — with synthetic data pipelines, embedding dedup and solvability filtering.
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Multi-agent orchestration, skill registries, and tool-calling with guardrails against runaway loops. Automation that stays on the rails.
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Multi-tier OCR with vision-model fallback, table-aware extraction, and compliance rules engines with confidence scoring.
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Custom YOLO detection trained on drone and industrial footage; medical screening; safety and defect monitoring.
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ClickHouse / Postgres pipelines, anomaly detection, time-series forecasting — and cost discipline that cut LLM spend 90% in production.
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React / Next.js frontends, FastAPI backends, WebSocket streaming interfaces, Docker → AWS. The product around the model — the part users actually touch.
03 — PROOF
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
04 — HOW WE WORK
STEP 01
We map your data, constraints, and sovereignty requirements. A fixed-scope pilot is defined in week one.
STEP 02
A working system on your real data in 2–4 weeks, measured against agreed accuracy and latency targets.
STEP 03
Guardrails, evals, monitoring, failover. The unglamorous 80% that makes AI survive production.
STEP 04
Handover or managed operation. Versioned models, documented runbooks, zero lock-in.
05 — PRODUCTS
IN DEVELOPMENT
Self-serve chat-and-chart over any database. Ask a question, get a dashboard — no analyst in the loop.
Describe your business, get a deployed site. Built for SMBs who need to be online by Friday.
Vertical SaaS for recurring compliance documents — extraction, rules-checking, and audit trails.
06 — TEAM
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.
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.
07 — CONTACT
HEADQUARTERS
114, Vasant Enclave, Vasant Vihar,
New Delhi, Delhi — 110057, India