SOVRA
Enterprise On-Premise AI Platform

AI that operates entirely inside your perimeter.

SOVRA deploys private language, vision, and speech models on your own infrastructure — trained on your data, integrated with your systems, and running with zero cloud dependency. Nothing leaves your premises. Ever.

AIR-GAPPED CAPABLE · NO EXTERNAL API CALLS · CUSTOMER-OWNED DEPLOYMENT

Your infrastructure boundary
AI Assistants & Private ChatAPPLICATION
RAG · AI Search · Document IntelligenceKNOWLEDGE
Fine-Tuned Models — LLM / Vision / SpeechMODELS
SOVRA Runtime & OrchestrationPLATFORM
Your Servers · GPUs · Data Center

× NO OUTBOUND CONNECTION REQUIRED — INTERNET / CLOUD / EXTERNAL APIS

Built for regulated environmentsDPDP Act (India)GDPRHIPAARBI / SEBI GuidelinesAir-Gapped NetworksData Residency
Platform

One platform. Every enterprise AI capability. On your hardware.

SOVRA is a complete AI stack — not a wrapper around a cloud API. Every capability below runs locally, offline, on infrastructure you own and control.

Private ChatGPT

A conversational assistant for your workforce with the interface employees already know — running entirely on-premise, with role-based access and full audit logs.

Document Intelligence

Extraction, classification, and summarization across contracts, reports, invoices, and scanned documents — including tables and multi-language content.

AI Search & Knowledge Management

Semantic search over your entire document estate. Employees ask questions in plain language and receive grounded answers with source citations.

Retrieval-Augmented Generation

Production RAG pipelines over your private repositories — SharePoint, file shares, databases, wikis — with chunking, embedding, and reranking tuned to your corpus.

Custom Model Training

LoRA and QLoRA fine-tuning on your domain data — terminology, formats, and workflows — producing task accuracy that generic models cannot match.

Enterprise Integration

Connectors and APIs for ERP, CRM, SharePoint, and internal databases — so AI operates inside your existing workflows, not beside them.

Deployment lifecycle

From assessment to production, delivered end to end.

A structured engagement model designed for enterprise procurement, security review, and change management.

STEP 01

Discovery & use-case assessment

We define the target workloads — document processing, internal assistants, search, extraction — and the accuracy, latency, and compliance requirements they must meet.

STEP 02

Hardware sizing

Model requirements are mapped to infrastructure: from a single GPU workstation for compact models to multi-GPU servers for larger deployments. We work with your existing hardware where viable.

STEP 03

Model selection

Base models are selected for task fit, language coverage, and license terms — evaluated against your actual workloads, not public benchmarks alone.

STEP 04

Training & knowledge integration

Fine-tuning on your domain data and construction of RAG pipelines over your document repositories. All training occurs within your environment.

STEP 05

Installation & systems integration

On-site deployment, hardened configuration, and integration with identity, ERP, CRM, and document systems. Air-gapped installation supported.

STEP 06

Evaluation & handover

Accuracy is benchmarked on your real tasks with your reviewers. Administrator training, security documentation, and operational runbooks are delivered.

STEP 07

Ongoing support

Offline update packages, scheduled retraining as your data evolves, and performance tuning — under a predictable annual support agreement.

Model support

Open-weight models. Your choice, your license, your hardware.

SOVRA is model-agnostic. We deploy and fine-tune leading open-weight model families — and replace them as better models are released. No lock-in to any single vendor's roadmap.

Language models
Llama · Mistral · Qwen · Gemma · Phi — sized from compact edge models to large multi-GPU deployments
Vision models
Document OCR, image understanding, and visual inspection models — for scanned records, diagrams, and quality control
Speech models
Transcription and voice interfaces — including multilingual and Indian-language support
Embedding models
Dense retrieval and reranking models — powering semantic search and RAG grounding
Training methods
LoRA / QLoRA fine-tuning · retrieval-augmented generation · task-specific evaluation harnesses
Deployment environments

Scales from a single workstation to a private data center.

Tier 01

Workstation

Compact models on a single professional GPU. Suited to departmental tools, pilots, and edge sites.

Tier 02

On-Prem Server

Dedicated inference server for team-wide assistants, search, and document processing.

Tier 03

GPU Server

Multi-GPU configurations for larger models, higher concurrency, and on-site fine-tuning.

Tier 04

Private Data Center

Clustered deployment with high availability for organization-wide AI infrastructure.

Why on-premise

Built on a different assumption: your data is not a commodity.

Data never leaves your premises

Inference, training, and storage all occur inside your network boundary. There is no telemetry and no external dependency.

Zero cloud dependency

No per-token billing, no rate limits, no third-party outages. The platform functions with the internet disconnected.

Air-gapped deployment

Installable and maintainable in fully isolated networks, with offline update packages for defense and critical infrastructure.

Custom AI models

Models fine-tuned on your terminology, documents, and workflows — evaluated against your acceptance criteria.

Enterprise integrations

Identity, ERP, CRM, SharePoint, and database connectors, with role-based access control and audit logging.

Hardware optimized

Quantization and inference optimization matched to your GPUs — maximum throughput from the hardware you already own.

Predictable pricing

Fixed deployment cost plus an annual support agreement. Usage does not change your bill.

No vendor lock-in

You own the deployment. Open-weight models can be replaced or upgraded as the ecosystem advances.

Industries

Deployed where data cannot leave the building.

Healthcare

Clinical documentation and patient-record intelligence inside hospital networks.

BFSI

KYC extraction, policy assistants, and document processing within the bank perimeter.

Government

Citizen-service and records intelligence with full data residency.

Defense

Air-gapped analysis and assistants for classified environments.

Manufacturing

SOP and maintenance assistants on the factory floor — offline.

Legal

Contract analysis and clause extraction on privileged documents.

Pharmaceutical

Research and regulatory document intelligence with IP protection.

Energy

Technical documentation and inspection AI at remote sites.

Retail

Catalog, supplier, and operations intelligence on private infrastructure.

Education

Institutional knowledge assistants with student-data protection.

Book a demo

See the platform running on hardware like yours.

A 45-minute technical session with our architecture team. No marketing deck — a working system.

  • Live demonstration on representative documents and workloads
  • Hardware sizing guidance for your target use cases
  • Security and compliance architecture walkthrough
  • Honest assessment of model fit — including where cloud may serve you better

Or request a callback — we respond within one business day.