Agentic AI, explained without the hype
What "agents" actually are, and when they beat a plain chatbot.
Trediq builds generative AI, agentic systems, and machine learning for teams that need results in production — not proofs of concept.
We work across the modern AI landscape and the classic ML that still wins, then engineer it to production standard.
LLM assistants, copilots, and RAG systems grounded in your own data — accurate, safe, and on-brand.
Autonomous agents and multi-step workflows that take real actions across your tools — not just chat.
We connect models to your stack with the Model Context Protocol — tools, data, and systems, standardized and secure.
Classic ML and data science where it still beats an LLM: forecasting, scoring, recommendations, and prediction.
Our build system gives every project a running start — reusable AI foundations, so we spend time on your problem, not boilerplate.
Intake, triage, and documentation assistants that save clinician time.
Scoring, fraud detection, and back-office agents that cut manual work.
Recommendations, search, and support copilots that lift conversion.
Demand forecasting and routing that take cost out of operations.
Ship the AI layer your product needs without growing your team.
Knowledge assistants and automation for high-volume, high-trust workflows.
A look at what we're building with our partners.
An appointment-booking and queue-management platform that takes the wait out of healthcare visits.
Read case study →Designing and building the core AI product for a stealth-mode startup — details under NDA.
Read case study →To a working prototype on your data — not quarters of discovery decks.
Evals, guardrails, and security by default. We ship systems, not demos.
GenAI and agents where they win; classic ML where it still beats an LLM.
Clear scope, one number, senior hands on the build from day one.
What "agents" actually are, and when they beat a plain chatbot.
The Model Context Protocol, and why it matters for integration.
The patterns that make retrieval accurate instead of flaky.
Tell us the use case. We'll tell you honestly whether AI is the right tool, what it costs, and how fast we can ship it.
We partner with a small number of teams and build their AI products end to end. Here's what that looks like.
A booking and queue-management platform that gives clinics control over their day and gives patients their time back.
Clinics juggle appointments across phone calls, walk-ins, and spreadsheets. Patients wait with no visibility into the queue, and front-desk staff spend the day managing it by hand.
An end-to-end platform: online appointment booking, a live queue with real-time patient status, automated reminders, and doctor and front-desk dashboards — with AI no-show prediction and smart scheduling that keeps rooms full.
We're partnering with Protokode to design and build their core product from the ground up. The details are under wraps — but the shape of the work isn't.
An AI-native platform with agentic workflows at its core, MCP-based integrations into the tools their users already live in, and a production ML backbone built to scale as they come out of stealth.
We can walk you through it under NDA. Get in touch →
We take on a small number of builds at a time. If you have a real AI problem, let's talk.
Plain-English writing on applied AI — agents, MCP, RAG, and what it actually takes to ship. No hype.
Everyone's talking about "agents." Underneath the buzzword is a genuinely useful idea — models that plan, use tools, and take multi-step actions. Here's what that means, where it beats a plain chatbot, and where it quietly falls over.
Read article →The Model Context Protocol is becoming the USB-C of AI integration. Here's why it matters.
Retrieval sounds simple until it hallucinates. The patterns that make it accurate.
Not every problem needs an LLM. A practical guide to the cheaper, better option.
The demo works. Now comes the 80% nobody budgets for. How we cross it.
How we measure whether an AI system is actually good — before your users do.
What building patient-facing healthcare AI taught us about trust and edge cases.
Want us to write about your use case? Tell us →
We'll tell you honestly whether AI fits and how fast we can ship it.
Trediq is a product studio for teams who want frontier AI turned into working software — not another proof of concept that dies in a slide deck.
Trediq is the applied-AI studio of Prichi Technologies Private Limited. We design and build generative AI, agentic systems, and machine learning for founders and teams who need production results, fast.
The industry is full of AI theatre — impressive demos that never survive contact with real users, real data, or real scale. We built Trediq to be the opposite: a small, senior team that treats every engagement like a product, with evals, guardrails, and integration baked in from day one.
We keep the team lean and the client list short on purpose. When you work with Trediq, you talk to the people building your product — start to finish.
If it can't go live, it isn't done. We build for real users from the start.
No bait-and-switch to a junior team after the contract is signed.
We'll tell you when AI isn't the answer. Trust beats a bigger invoice.
Clear scope and one number, so there are no surprises mid-build.
Builds Trediq's products end to end — from architecture and AI systems to shipping and scale. Reach him at hello@trediq.com.
Tell us what you're trying to solve and we'll tell you honestly how we'd approach it.
Tell us the use case. We'll tell you honestly whether AI is the right tool, roughly what it costs, and how fast we can get it to production.