AI & DIGITAL DIVISION — NEW DELHI, IN

Sovereign AI,
built for real work.

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

Documents in production RAG
30K+
LLM cost reduction
90%
Tables queried by chat
400+
On-premise capable
100%
Sovereign AI RAG Pipelines Text-to-SQL Voice AI Fine-Tuning Agentic Systems Computer Vision Multi-GPU Inference Document Intelligence Data Engineering  

01 — 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.

COMING SOON

Energy Division — solar, storage & electrification.
Launching later this year.

  • Sovereign by default

    Zero data leaves your infrastructure. Ever.

  • Production, not prototypes

    Systems live at national venues and government departments.

  • 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

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.

vLLMSGLangMulti-GPUAir-gapped

C02

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.

ChromaDBQdrantpgvectorReranking

C03

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.

Text2SQLDashboardsClickHouse

C04

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.

STT / TTSBarge-inTelephony

C05

Fine-Tuning & Alignment

SFT, LoRA / QLoRA, GRPO, DPO — with synthetic data pipelines, embedding dedup and solvability filtering.

LoRAGRPODPO

C06

Agentic Systems

Multi-agent orchestration, skill registries, and tool-calling with guardrails against runaway loops. Automation that stays on the rails.

OrchestrationTool-calling

C07

Document Intelligence

Multi-tier OCR with vision-model fallback, table-aware extraction, and compliance rules engines with confidence scoring.

OCRComplianceExtraction

C08

Computer Vision

Custom YOLO detection trained on drone and industrial footage; medical screening; safety and defect monitoring.

YOLOPyTorchEdge

C09

Data Engineering & Forecasting

ClickHouse / Postgres pipelines, anomaly detection, time-series forecasting — and cost discipline that cut LLM spend 90% in production.

ETLAnomaly DetectionForecasting

C10

Web & Platform Engineering

React / Next.js frontends, FastAPI backends, WebSocket streaming interfaces, Docker → AWS. The product around the model — the part users actually touch.

ReactFastAPIDockerAWS

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.

  1. STEP 01

    Discover

    We map your data, constraints, and sovereignty requirements. A fixed-scope pilot is defined in week one.

  2. STEP 02

    Pilot

    A working system on your real data in 2–4 weeks, measured against agreed accuracy and latency targets.

  3. STEP 03

    Harden

    Guardrails, evals, monitoring, failover. The unglamorous 80% that makes AI survive production.

  4. STEP 04

    Operate

    Handover or managed operation. Versioned models, documented runbooks, zero lock-in.

05 — PRODUCTS

What we're building next.

IN DEVELOPMENT

IN LAB

Text-to-Dashboard SaaS

Self-serve chat-and-chart over any database. Ask a question, get a dashboard — no analyst in the loop.

IN LAB

AI Website Builder

Describe your business, get a deployed site. Built for SMBs who need to be online by Friday.

IN LAB

Document Compliance Reviewer

Vertical SaaS for recurring compliance documents — extraction, rules-checking, and audit trails.

06 — 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.

07 — CONTACT

Have something worth building?

helliosintelligence@gmail.com

HEADQUARTERS

114, Vasant Enclave, Vasant Vihar,
New Delhi, Delhi — 110057, India