NewMatrytech AI Studio is live — build production-grade AI agents in weeks, not quarters.
— AI Agents & Automation Development

AI agents that do the work — not agents that demo well.

Multi-step agents wired into your real tools, grounded in your own data, and supervised where it matters. Prototype against live data in two weeks, production in four to eight. Fixed price, agreed before we start.

$15–80ksingle agent from $15k · multi-agent systems $40–80k · fixed price per project
2 weeksPrototype on your real data
4–8 wksPrototype to production
$15k+Single agent, fixed price
100%Source code and IP transfer
— What we build

Six kinds of agent. One engineering team.

Every agent ships with an evaluation harness, action logging and an approval path before it touches anything that matters. If it can spend money or send a message, a human signs off until you decide otherwise.

— 01

Customer support agents

Agents that resolve tickets rather than deflecting them — reading your knowledge base, checking order state in your systems, and escalating with full context when they should.

  • Grounded answers with citations
  • Escalation with conversation history
  • Chat, email and WhatsApp channels
— 02

Sales and revenue agents

Qualification, enrichment, follow-up drafting and CRM hygiene. The unglamorous work that decides whether a pipeline is accurate, done continuously instead of at quarter end.

  • CRM read and write with audit trail
  • Draft-for-approval, not auto-send
  • Lead scoring against your own history
— 03

Document and data agents

Extraction, classification and reconciliation across contracts, invoices and reports — with confidence scores, so low-certainty cases route to a person instead of guessing.

  • Structured output with schema validation
  • Confidence thresholds and human routing
  • Handles scans and mixed formats
— 04

Internal operations agents

Agents that live in Slack or Teams and act on your internal APIs: run the report, provision the account, chase the approval, summarise the incident.

  • Tool use over your internal APIs
  • Slack and Teams native
  • Role-based permissions
— 05

Retrieval over your own data

RAG done properly — hybrid retrieval, chunking tuned to your documents, and an evaluation set built from questions your team actually asks.

  • Hybrid keyword and semantic search
  • Citations on every answer
  • Evaluation set before first demo
— 06

Voice agents

Real-time voice for booking, triage and qualification, with barge-in handling and a transcript written back to your systems.

  • Sub-second response targets
  • Handles interruption naturally
  • Transcript and outcome logged
— How we work

From use case to production in eight weeks.

Most agent projects stall in evaluation for months because nobody agreed what success meant. We define that in week zero and demo working software every fortnight after it.

01

Discovery — Week 0

Pick one workflow with a measurable outcome. Audit the data and the tools the agent needs to touch. You leave with a scoped proposal and a fixed quote inside 48 hours.

02

Prototype — Weeks 1–2

A working agent against your real data, not a sandbox. Wired to one or two real tools, with an evaluation harness so we can prove whether changes help.

03

Hardening — Weeks 3–6

Approval flows, permissions, action logging, failure handling and cost controls. This is the part that separates a demo from something you can leave running.

04

Production — Weeks 6–8

Deployment, monitoring, alerting on quality regressions, and a handover with the code, the prompts and the eval suite. Then a maintenance retainer if you want one.

— Proof

An AI product that had to be fast enough for a five-year-old.

Forly personalises a story with a child's name and narrates it in a real voice — two model calls between a tap and the first word of audio. We got median time-to-audio under eight seconds, and almost none of that came from picking a faster model.

“Their attention to detail and outstanding communication impressed us.”

Jamel Bullock Founder, Grihd · Los Angeles
★★★★★ Verified on Clutch

Read how we got narration under 8 seconds

— Frequently asked

What buyers ask before commissioning an agent.

If something is missing, email info@matrytech.com — a senior engineer replies, and usually the same day.

How much does an AI agent cost to build?
A single agent with tool use, memory and enterprise integrations runs $15,000–$25,000. A multi-agent system with orchestration, handoffs and retrieval over your own data runs $40,000–$80,000. Every build is quoted fixed-price per project — never hourly, and the price is agreed before we start.
What is the difference between an AI agent and a chatbot?
A chatbot answers. An agent acts. A chatbot retrieves an answer and returns text; an agent decides which tool to call, calls it, checks the result and continues until the task is done — filing the ticket, booking the meeting, updating the CRM. That difference is why agents need evaluation harnesses and approval flows, and chatbots do not.
How long does it take to get an agent into production?
A working prototype against your real data in about two weeks, production in four to eight. The variable is rarely the model — it is access to your systems. Projects slow down waiting for API credentials and data samples, so we ask for those in week zero.
How do you stop it hallucinating or taking a wrong action?
Three things, all built in from the start rather than added after a bad demo: retrieval grounded in your own sources with citations, an evaluation harness that runs on every change so regressions are caught before deployment, and human-in-the-loop approval on any action that costs money, sends a message or cannot be undone.
Which models and frameworks do you use?
We are model-agnostic — Claude, GPT, Llama and Mistral, chosen on your accuracy, latency and cost targets, with the architecture written so a model can be swapped without a rebuild. Orchestration is usually LangGraph or a custom loop; we avoid frameworks that hide control flow you will later need to debug.
Do we own the code?
Yes. Full source-code and IP transfer on every build, including prompts, evaluation suites and infrastructure-as-code. You can take it in-house or to another vendor at any point — that is the deal, and it is the same on every engagement.
— Let's scope your first agent

Bring one workflow. Leave with a build plan.

Every engagement starts with a 60-minute call with a senior engineer, never an SDR. You leave with a scoped proposal and a fixed quote within 48 hours — and if an agent is the wrong answer, we will tell you on the call.

Book a 60-min discovery call
— Founder will reply personally Prakash Singh · Matrytech