The pilot that never shipped
ChatGPT experiments all over the company, a board asking about AI — and nothing your customers or team can actually use in production.
Senior AI engineering studio · US & Europe
We build AI agents
that do real work.
Trontra designs, ships, and scales production-grade agents for your business — from first call to first ship in 30 days.
Senior engineers only · Fixed scope, fixed price · You own everything we build
- quote latency, logistics ops agent
- −92%
- quote latency, logistics ops agent
- hallucination ceiling, clinical RAG
- 0.6%
- hallucination ceiling, clinical RAG
- weekly feature use, in-app copilot
- 3.4×
- weekly feature use, in-app copilot
Sound familiar?
Most AI work dies in demos.
If any of these look like your last six months, you're exactly who Trontra was built for.
The demo that fell apart
A freelancer or offshore team shipped something that looked great in a screen recording — until it met real data, real users, and real edge cases.
The chatbot that can't act
Your AI answers questions but can't update the CRM, generate the quote, schedule the job, or file the ticket. Talking isn't doing.
This is the gap we close: production agents with evals, observability, and real actions behind them — here's how.
What we do
Three ways we ship intelligence.
Trontra ships three kinds of production AI work: tool-using agents and copilots, end-to-end custom AI software (RAG, evals, observability), and AI embedded into the CRMs and ops systems you already run — without a full rewrite.
AI agents & copilots
Goal-directed agents that do real work — tool use, memory, MCP servers, voice. Safe, observable, and supervised from day one.
Custom AI software
Production-grade AI applications end-to-end, from data layer to UI. RAG, fine-tuning, evals, and observability — wired the way it should be.
AI in your existing systems
We add intelligence to the tools you already run — CRMs, dashboards, internal ops — without rewriting the world. Faster ROI, less risk.
How it works
From brief to production.
Most Trontra engagements reach first production ship in 30 days: scope a fixed plan in week 1, ship a real end-to-end slice in weeks 2–4, then harden and hand off — or stay embedded — from week 5.
- 01Week 1
Scope
A free 30-minute call with a senior engineer. You get a one-page plan with a fixed scope, a fixed price, and a ship date.
- 02Weeks 2–4
Ship
First end-to-end slice running in production-grade code. Real data, real evals — no throw-away demos.
- 03Week 5+
Scale
We harden it, instrument it, and hand the keys to your team — or stay embedded and keep shipping. You own everything.
Selected work
Results, not demos.
Representative outcomes across logistics, healthtech, and B2B SaaS — faster quote cycles, low hallucination ceilings on clinical RAG, and higher weekly feature use for in-app agents. Most client work is under NDA; we can walk through specifics on a call.
Logistics
Operations agent for a freight broker
Replaced a 14-tab spreadsheet workflow with a tool-using agent. Quote turnaround dropped from 18 minutes to under 90 seconds.
−92%quote latency
Healthtech
Clinical-document RAG for a practice network
Retrieval over 4M pages of de-identified records, with eval gates on hallucination rate before every deploy.
0.6%hallucination ceiling
B2B SaaS
In-app AI assistant for a CRM startup
An embedded agent giving end-users a natural-language interface to their pipeline, with deterministic actions behind every command.
3.4×weekly active feature use
Pricing
Start small. Own everything.
Fixed scope or fixed monthly — never open-ended hourly. Every engagement transfers full IP ownership to you.
Focused sprint
Start here~$25k~2 weeks
A production-grade slice of your agent, shipped and running on your data. The lowest-risk way to see how we work — and to put something real in front of your team.
- One scoped agent workflow
- Real data, real evals
- Yours to keep, whatever happens next
Core build
$50k–$200k4–12 weeks
A full agent, copilot, or AI product: tool use, RAG, evals, observability, and the integrations that make it part of your business.
- Fixed scope, fixed price
- First production ship in 30 days
- Hardened, instrumented, handed off
Embedded partnership
$200k+ongoing
A senior team that keeps shipping — new capabilities, model swaps, eval coverage, and cost tuning, quarter after quarter.
- Same senior engineers throughout
- Fixed monthly, no hourly billing
- Roadmap shipped, not advised on
Who you'll work with
Founder-led, engineer-first.
Daniyal Afaqi
Founder, Trontra
The engineer on your first call is the engineer in your repo. Trontra is founder-led by design — no account managers, no handoffs, no juniors behind the curtain. You work directly with the senior engineer who scopes, prices, and ships your project.
Connect on LinkedInQuestions
Common questions about working with Trontra
Straight answers on pricing, timeline, who does the work, NDAs, and IP ownership — the details buyers ask before a first call.
01
How does an engagement with Trontra start?
A free 30-minute call with a senior engineer — not a salesperson. If we're a fit, you get a written proposal within 2–3 business days with scope, price, and timeline.
02
How much does custom AI agent development cost?
Most projects land between $25k for a focused two-week sprint and $200k+ for a 12-week build with embedded support. Fixed-scope or fixed-monthly — no open-ended hourly billing.
03
How long does it take to ship a production AI agent?
From kickoff to first production ship is typically 30 days. Week 1 scopes a fixed plan; weeks 2–4 deliver the first end-to-end slice on real data with evals; week 5+ hardens, instruments, and hands off or stays embedded.
04
Who actually does the work?
The same senior people you meet on the first call. We don't pitch with seniors and deliver with juniors.
05
Do you sign NDAs?
Yes — yours or ours, before any specifics are exchanged. Most of our work is under NDA.
06
Who owns the IP Trontra builds?
You do. Client agreements transfer work product ownership to you. We do not retain rights to resell your agents or reuse your proprietary data.
07
How do you handle our data and security?
NDAs before any specifics are exchanged. We design for least access — your data stays in your accounts and infrastructure wherever possible — and every agent ships with eval gates, guardrails, and audit trails before it touches production.
08
Which models and stack do you use?
OpenAI, Anthropic, Google, Llama, and Mistral — via direct APIs, AWS Bedrock, or Azure. We're model-agnostic and choose per workload; everything ships with evals and observability, so you can swap models later without starting over.
09
We already have engineers — how do you work with them?
We build alongside your team, not around it. Your engineers get production-grade code, eval harnesses, observability, and documentation — so when we hand off, they can own and extend the system rather than inherit a black box.
010
Why not hire a freelancer or a big consultancy?
Freelancers demo fast but rarely survive real data and real users; large consultancies bill hourly and staff juniors. Trontra is senior engineers on fixed scope and fixed price, with a first production ship in 30 days — and you own everything.
011
Do you work with companies outside the US and Europe?
Our focus is companies headquartered in the US and Europe, where we can guarantee business-hour overlap. If you're elsewhere, write to hello@trontra.com and we'll tell you honestly whether we're the right fit.
Start a project
Tell us what you want to build.
One message. A senior engineer reads it and replies within one business day with a real answer — not a sales sequence.