Everything AI, built to ship.
Matrida builds AI agents, knowledge assistants and automation that do real work inside your business, with the quality, security and cost controls that demos skip.
Illustrative interface with sample data.
Six ways we put AI to work.
AI Agent Development
We build AI agents that complete multi-step work inside your systems, with guardrails, human approval and full audit logs.
Learn more →02RAG & Enterprise Knowledge Assistants
Private assistants that answer from your documents with citations, permission-aware retrieval and measured accuracy.
Learn more →03Generative AI Application Development
Customer-facing and internal LLM products, from document drafting to AI copilots inside your SaaS.
Learn more →04AI Workflow Automation
Automate document-heavy, judgement-light work across finance, HR, support and operations.
Learn more →05MLOps & LLMOps
Evaluation, monitoring, cost tracking and release processes that keep AI systems reliable after launch.
Learn more →06AI Strategy Sprint
A fixed two-week sprint that gives you a ranked use-case list, a working proof of the top idea and a costed plan.
Learn more →A demo takes a weekend. Production takes engineering.
Getting a model to answer is the easy part. Everything around it is the work, and that is what we do.
Production first
Evaluation, security and cost are planned on day one, because that is where AI pilots die.
Measured, not promised
Every project starts with a baseline and a target you agree to, so the result is a number.
Vendor-neutral
We pick models on evaluation results and keep you free to switch providers.
You own it
Code, prompts, evaluation data and documentation are yours, with a real handover.
From idea to production in four steps.
Strategy call
30 minutes, free. We tell you honestly if AI is the right tool.
Strategy Sprint
Two weeks: ranked use cases, a prototype on your data, a costed plan.
Production pilot
6 to 12 weeks with real users, measured against your baseline.
Scale and run
Roll out, monitor and improve, or take it in-house with a full handover.
Get answers before you talk to anyone.
Instant results in your browser. No sign-up needed to see your number.
AI Readiness Assessment
Ten questions across strategy, data, tech, people and governance.
Open the tool →AI ROI Calculator
Savings, payback and first-year return for any automation idea.
Open the tool →AI Project Cost Estimator
An indicative budget and timeline from five project drivers.
Open the tool →Build vs Buy Engine
Eight questions that point to build, buy or hybrid.
Open the tool →LLM Cost Calculator
Monthly API spend by volume, tokens, model tier and caching.
Open the tool →Why AI pilots stall, and the method that fixes it.
A practical PDF for CTOs, founders and product leaders.
- The six ways AI pilots die, and the early warning for each
- A seven-stage delivery method with exit criteria
- How to set quality targets before writing code
- A launch checklist your security team will accept
Built around how your sector works.
Financial Services
AI for banks, NBFCs, insurers and fintechs, with the audit trails and data controls regulated teams need.
See use cases →Healthcare
Healthcare AI that reduces administrative load for hospitals, clinics and health-tech products.
See use cases →Retail & E-commerce
AI for online and omnichannel retail: conversational commerce, catalogue enrichment and support automation.
See use cases →Manufacturing
AI for manufacturers: maintenance knowledge, quality inspection, supplier documents and procurement.
See use cases →Logistics & Supply Chain
AI for freight, 3PL and supply chain teams: document automation, exception handling and shipment communication.
See use cases →Whitepapers and templates worth your inbox.
The AI Project Playbook
Why AI pilots stall and the seven-stage method that gets them into production. For CTOs, founders and product leaders.
Get the PDF →Technical whitepaperRAG Architecture Blueprint
A reference design for enterprise knowledge assistants, covering ingestion, retrieval, permissions and evaluation.
Get the PDF →ChecklistAI Readiness Checklist
Forty yes-or-no checks across strategy, data, technology, people and governance. Finish it in 20 minutes.
Get the PDF →Common questions
What does Matrida Infotech do?
We design, build and run production AI systems: AI agents, RAG knowledge assistants, generative AI applications and workflow automation, plus the operations layer that keeps them reliable.
How much does an AI project cost?
It depends on scope, integrations and risk. Our free AI project cost estimator gives an indicative range in two minutes, and a strategy call will narrow it down.
How long until we see something working?
Our Strategy Sprint gives you a working prototype on your data in two weeks. A focused production pilot usually takes 6 to 12 weeks.
Do we keep ownership of the code and data?
Yes. You own the code, prompts and evaluation sets we write for you. Your data stays yours and is never used to train models.
Have an AI idea? Get a straight answer.
Thirty minutes with an engineer, not a salesperson. You leave with a verdict, a rough scope and the next step, whether or not you work with us.