Case study Private SQL AI — answers from your database, fully on-premise

Production AI.
Measured impact.

AI that pays off — engineered into the systems you already run, and measured until the numbers move.

Talk to the team See the work

Model-agnostic. Cloud-agnostic. Built on the stack you already trust.

GPTClaudeGeminiLlamaMistralLangGraphMCPvLLMpgvectorAWSAzureGoogle CloudOn-premise

AI is easy to demo. Making it work inside real operations is the hard part. That's the part engineered here.

Engineering standards

Built for production. Not for the demo.

Most AI pilots never reach production. Every system here is engineered to.

Frontier models, no lock-in

The right model for each job — open or commercial — with the freedom to switch.

Agentic by design

AI that plans, uses your tools and completes multi-step work — with people in the loop.

Grounded in your data

Retrieval and knowledge systems that answer from your documents and databases, with sources.

Private when it matters

On-premise and in-country deployments for sensitive data.

Evaluated, not guessed

Every system ships with evals, guardrails and monitoring.

Measured in outcomes

Success criteria agreed up front, and tracked after launch.

Services

Consult. Engineer. Productize.

One team from strategy to production — so nothing gets lost in a hand-off.

01 · Consult

AI Consulting & Analytics

Find the AI opportunities worth building — and how to measure them.

  • Opportunity assessment
  • Data science
  • GenAI strategy
Explore02 · Engineer

Forward-Deployed Engineering

Engineers embedded with your teams, shipping AI into the systems you already run.

  • AI agents
  • RAG
  • Integration
  • Governance
Explore03 · Productize

AI Product Engineering

Turn domain expertise into AI products that scale beyond one customer.

  • Product strategy
  • AI architecture
  • Apps
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Specialist capabilities

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Advanced

Voice & Indic-language AI

Voice agents and assistants in Telugu, Hindi, Tamil, English and more — on the phone, WhatsApp and the web.

  • Voice Agents
  • WhatsApp Assistants
  • Indic Language AI
ExploreAdvanced

Agentic AI & Automation

Multi-agent systems that plan, use your tools and finish real work — with people approving what matters.

  • Multi-agent Workflows
  • Tools & MCP Integration
  • Human-in-the-loop Controls
ExploreAdvanced

Private & Sovereign AI

Private language models on your servers or private cloud — so sensitive data never leaves your control.

  • Private LLM Deployment
  • Fine-tuned Small Models
  • Private Text-to-SQL
ExploreAdvanced

AI Trust, Evals & LLMOps

Evaluation, guardrails, monitoring and cost control for AI in production — so quality never drifts silently.

  • LLM Evaluation
  • Guardrails & Red-teaming
  • Monitoring & Observability
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Case studies

Systems put to work.

Real problems. Production systems. Owned by the teams that use them.

Conversational AI · HR

Policy answers without the ticket queue.

Challenge
Employees waited on HR for answers buried in policy documents.
Built
A context-aware assistant over HR policies and internal tools, with role-based access.
Outcome
Instant, cited answers employees can verify — with a full audit trail.
  • LLM assistant
  • RAG
  • RBAC
  • Audit
Assistant answering an employee question about severance policy, with verified HR policy sources

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Products

Purpose-built AI, ready to deploy.

MediNexusHealthcare AI · MediNexus.in

Make every patient interaction count.

Appointments, reminders and rescheduling over messaging — connected to your hospital systems.

Explore MediNexus
KriyaNexusBusiness AI

Everyday workflows, made intelligent.

Follow-ups, customer engagement and routine tasks — handled, so growing teams can focus.

Explore KriyaNexus
Deployment & security

Runs where your data lives.

The same engineering, deployed on your terms — from public cloud to fully offline.

01

Public cloud

AWS, Azure or Google Cloud — in your own account.

02

Private cloud

Inside your VPC, behind your network controls.

03

On-premise

Open models on GPU servers in your data centre.

04

Air-gapped

No internet connection. Nothing leaves the building.

  • Encryption in transit & at rest
  • SSO & role-based access
  • Audit trails
  • Guardrails & human review
  • Designed for India's DPDP Act
The process

Problem to production. In five steps.

  1. Discover

    The problem, systems and data.

  2. Design

    Architecture, scope, success criteria.

  3. Engineer

    Iterative delivery with your team.

  4. Validate

    Quality, security, business impact.

  5. Enable

    Hand over. You own and evolve it.

Have a problem AI could solve?

Let's find the opportunity and build something that works in the real world.

Talk to the team Explore products