Most AI agents look great in a sales call and quietly break in week three. We build agents that run in production: trained on your own data, connected to the tools you already use, and monitored by us every month so they keep working when your business changes.
Live in 3 weeks · You own the code
Trusted by teams in the US, UK, and India
Siddhraj
Unoloft
Kofeko
3nStar
Veda
Cerata
Shubham
Consultup IndiaWe don't build science projects. These four solve problems you can measure on day one, and they're where nearly every engagement starts.
Trained on your help docs, product pages, and past tickets. Answers common questions across your website, WhatsApp, and email, and hands off to a human the moment it's out of depth, with the full conversation attached, so nobody starts from scratch.
Best for: DTC brands and SaaS teams where the same twenty questions consume most of the inbox.
Captures every inbound enquiry, enriches it, asks the qualifying questions you'd ask, scores it against your criteria, and routes it to the right person in your CRM or Slack, in under a minute, at 2am, on a Sunday.
Best for: Agencies and professional-services firms losing deals to slow first-response times.
Reads invoices, contracts, forms, and scanned records. Extracts the fields you actually need, validates them against your rules, and files them into your accounting system or database. No re-keying, no copy-paste.
Best for: Accounting, legal, logistics, and any team where someone's week disappears into PDFs.
Pulls data from the tools you already use, assembles the report you build by hand every week, and delivers it to Slack or email on a schedule. Answers questions about your own data in plain language.
Best for: Agency owners rebuilding the same client report every Monday morning.
That's the first thing we'll tell you. Book a call and we'll look at the workflow honestly, sometimes a simple automation solves it for a tenth of the cost, and we'd rather say so upfront.
Book a discovery callWe get called in to fix other people's agents often enough to see the same four causes. None of them are about the model.
The agent answered ten test questions correctly, so it shipped. There's no measure of how often it gets things right in production, which means nobody notices when the rate starts falling. We define success criteria and a test set before we build, so "working" is a number, not an opinion.
The agent produces an answer, and then a person copies that answer into the actual system. That's a demo with extra steps. An agent earns its cost only when its output triggers action: a record updated, a ticket closed, a task assigned.
Your products change, your policies change, and the underlying models change underneath you. An agent that isn't monitored degrades slowly and invisibly until a customer complains. This is exactly why every build we do includes a monthly plan, not as an upsell, but because unmonitored agents fail.
The freelancer moved on, the agency finished the project, and there's no one to call when something breaks. You get named engineers who know your system, and full documentation and source code either way.
A demo needs a model and a prompt. Something you can trust with live customers needs six things underneath it.
The agent answers from your documents, policies, and records rather than guessing from general training. If it doesn't know, it says so and escalates instead of inventing an answer.
Real read and write access to your CRM, helpdesk, store, database, or spreadsheets, with typed, validated inputs so actions are predictable.
It remembers the conversation and the relevant context, without dragging every past interaction into every request and quietly tripling your monthly token bill.
Hard limits on actions it's allowed to take, and approval checkpoints before anything irreversible: refunds, deletions, outbound messages to customers.
Every answer is logged back to the inputs and tool calls that produced it, so when something goes wrong you can see exactly why in minutes.
The agent's credentials cover only what its job requires, with audit logging on every write. It can't reach what it doesn't need.
We map the workflow as it runs today, including the manual handoffs nobody documented. If a simpler automation solves it faster and cheaper than an agent, we'll tell you, we'd rather lose the project than build something that shouldn't exist.
You get a written scope, a fixed price, and a delivery date before any code is written. If the scope changes later, we re-quote in writing first. No hourly billing, no surprise invoices.
We build the agent against your real data and connect it to your actual stack in a staging environment. You get a written update every Friday plus a short Loom walkthrough of what moved.
We run it against real historical cases and the awkward edge cases, not a clean demo script. You see the accuracy numbers before it touches a live customer.
Deployed with logging and monitoring from day one, so every decision is traceable from the first real conversation.
Real usage shows what we couldn't predict. We tune prompts, improve retrieval, and extend the agent as your business changes. A named engineer stays on it.
Typical total: 3 weeks from kickoff to live for a single agent. Multi-workflow builds run 5–8 weeks.
The architecture barely changes by industry. What changes is the data, the tools it plugs into, and the decisions a human still needs to sign off.
Client onboarding, reporting, and lead intake agents, built to run under your brand for your clients, or internally for your own team.
Intake, document processing, and follow-up agents for consulting, legal, accounting, and recruiting firms where billable hours are lost to admin.
Support and returns agents trained on your policies, connected into Shopify, your helpdesk, and WhatsApp.
Fixed scope, fixed price, quoted in writing before work starts. We carry the risk of our own estimates.
A single production agent typically goes live in three weeks. Enterprise vendors quote three months because they have three months of process.
No account manager relaying requirements to a team you never meet. You talk to the people writing the code.
Source code, prompts, evaluation sets, and documentation transfer to you on final payment. No proprietary platform you can't leave, no per-seat licence.
Every build includes a monthly plan: monitoring, tuning, updates, and small feature work. It's how we scope from day one, not an upsell at handover.
If you have a half-finished agent from a previous vendor, we'll audit it and tell you honestly whether to salvage or restart. Sometimes the answer is salvage.
Book a 30-minute call. We'll look at the workflow, tell you honestly whether an agent is worth building, and give you a fixed price if it is.
