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AI by Industry · IT & Startups

AI Engineering, Private LLM Infrastructure & Security for Software Companies

Software companies do not need to be told what AI can do; they need an engineering partner who can ship a private LLM stack, a retrieval pipeline or an agent system on a fixed timeline — and a security team who will break it before customers do. We work as that partner for product companies, IT services firms and funded startups.

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  • 5 moduleseach with a number attached
  • Private by defaultmodels and data on servers you own
  • Human in the loopa named person signs every decision
  • ConfidentialNDA on request, no client names

What the leaders in it & startups require from AI

  • 01Production, not demos

    Evaluation sets, latency budgets, fallbacks and monitoring from the first sprint. A demo that cannot be operated is not delivered.

  • 02Own the model layer

    Open-weight models on your GPUs where cost, privacy or latency demand it; cloud models where they do not. The choice is engineered, not defaulted.

  • 03Security shifted left

    Threat modelling, dependency review and penetration testing before release, not after the incident.

  • 04Handover complete

    Code, infrastructure-as-code, runbooks and training. Your team runs it without us.

Module by module — what AI does, what we deliver, what you measure

01

Private LLM & GPU Infrastructure

Your own inference servers running open-weight models with production tooling around them.

What the AI does

  • Serves Llama, Qwen, Mistral, Gemma-class models with quantisation tuned to your GPUs
  • Routes requests between local and cloud models by cost, privacy and latency policy
  • Caches, batches and monitors throughput and quality
  • Evaluates new model releases against your own test set

What we deliver

  • GPU server specification, build and deployment (on-premises or colocation)
  • Inference stack (Ollama / vLLM class) with API gateway, auth and rate limits
  • Observability: latency, token cost, quality drift
  • Model evaluation harness and upgrade playbook

What you measure

Predictable AI cost, data sovereignty for customers who demand it, and no vendor lock-in.

02

RAG Pipelines & Agent Systems

Retrieval that is accurate, agents that are safe, and evaluation that proves both.

What the AI does

  • Chunks, embeds and indexes documents with metadata and access control
  • Answers with citations and refuses when the corpus does not support an answer
  • Runs multi-step agents with tool calling, approvals and rollbacks
  • Scores answers against golden sets on every change

What we deliver

  • Retrieval pipeline with hybrid search and re-ranking
  • Agent framework with tool registry, guardrails and human approval gates
  • Evaluation suite integrated with CI
  • Admin console for corpus and prompt management

What you measure

AI features your customers trust, shipped with the numbers to prove accuracy.

03

AI Product & Feature Engineering

An AI feature inside your product — designed, built, integrated and shipped on a fixed scope.

What the AI does

  • Document understanding, classification, summarisation, extraction, recommendation
  • Voice, vision and multilingual (Tamil/English) capabilities
  • Personalisation and forecasting on your product data
  • Copilots embedded in your existing UI

What we deliver

  • FastAPI / Node services with typed contracts and tests
  • React / Next.js front-end integration
  • Data pipelines and feature stores as needed
  • Documentation and handover to your engineers

What you measure

A shipped feature with adoption metrics, not a research notebook.

04

MLOps, Data Pipelines & Monitoring

Training, deployment, drift detection and retraining as a repeatable process.

What the AI does

  • Tracks experiments, datasets and model versions
  • Detects data and prediction drift in production
  • Triggers retraining and validates before promotion
  • Reports model performance to product owners

What we deliver

  • Pipeline orchestration and model registry
  • Deployment with canary and rollback
  • Drift monitoring and alerting
  • Cost and performance dashboards

What you measure

Models that stay accurate after launch, with an operating process your team owns.

05

Application Security & Penetration Testing

Your web app, API, mobile app and cloud tested the way an attacker would, with fixes prioritised.

What the AI does

  • Assists triage and reproduction of findings across large codebases
  • Correlates dependency vulnerabilities with actual exposure
  • Monitors production traffic for attack patterns
  • Screens your AI features for prompt injection and data leakage

What we deliver

  • Authorised penetration test with a prioritised, reproducible report
  • Secure code and dependency review
  • Cloud and infrastructure hardening (IAM, network, secrets)
  • AI-specific security review: prompt injection, data exfiltration, tool abuse

What you measure

Vulnerabilities found by us, not by your customers or a bug-bounty stranger.

Where software companies get breached

  • Leaked secrets and tokensAPI keys in repositories or CI logs give attackers your cloud account and customer data.Our fix: Secret scanning, vault-based secrets, least-privilege IAM and rotation.
  • Supply-chain compromiseA malicious package update runs inside your build and ships to customers.Our fix: Dependency pinning, provenance checks, isolated builds and review policy.
  • Prompt injection in AI featuresA crafted input makes your assistant leak data or call tools it should not.Our fix: Input isolation, tool allow-lists, output filtering and adversarial testing.
  • Exposed admin panels and databasesStaging and admin endpoints reachable from the internet with default credentials.Our fix: External exposure scans, zero-trust access, MFA and monitoring.
See the full cyber security programme →

The standard every module is built to

  • 01Private by default

    Models run on the company's own server or a private VPS. Contracts, patient records, ledgers and price lists never leave the building.

  • 02Grounded, cited answers

    Every assistant answers from the company's own documents and shows the source. When the answer is not in the data, it says so.

  • 03Human in the loop

    AI drafts, ranks, flags and forecasts. A named person approves anything that touches money, patients, contracts or people.

  • 04Measured, not assumed

    Each module starts with a baseline (hours, days, error rate, cost) and reports against it. If the number does not move, the module is redesigned.

  • 05Governed

    Access control, audit logs, model versioning and a written AI policy aligned to ISO/IEC 42001, ISO/IEC 27001 and India's DPDP Act 2023.

  • 06Owned outright

    Source code, models, prompts and data pipelines are handed over. No per-seat licence to us, ever.

Questions it & startups leaders ask us

Do you white-label for IT services companies?

Yes. We build under your brand for your end client, under NDA, with your team in the loop. We never publish client or end-client names.

Which models do you deploy?

Open-weight families such as Llama, Qwen, Mistral and Gemma on your GPUs, and cloud models where they are the better engineering choice. The routing policy is yours.

Can you audit an AI feature we already shipped?

Yes. We review retrieval accuracy, prompt-injection exposure, data leakage and cost, and deliver a prioritised fix list.

How do you price product engineering?

Fixed scope and price per milestone after a discovery session, with weekly demos. Retainers are available for ongoing work.

Free consultation

Tell us your biggest bottleneck. We'll tell you which module comes first.

Thirty minutes on the phone or at our Anna Nagar West office. You leave with a baseline to measure, a first module, and — if it makes sense — a fixed quote. No obligation.

Every client engagement is confidential. We do not publish client names, project details, screenshots or testimonials without written permission, and we sign an NDA before any assessment on request.

Want your own team trained to build this? See our TensorFlow for Deep Learning.

Free, no obligation. We reply within one working day. Prefer to talk now? WhatsApp +91 90031 20915. Your details are confidential and never shared.

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