AI that holds
in production.
Algobain designs, builds and operates AI agents, data platforms and the infrastructure beneath them, with a named person in command of every consequential action.
Two-week fixed-fee assessmentWritten roadmap, ROI, build-vs-buy. No lock-in.
Engineering partner to
The numbers we are held to.
Every figure below comes from systems Algobain built and still operates. Where a number is not yet verified, it is shown as a placeholder rather than invented.
Operating cost automated across client systems.
Cumulative, all engagementsUptime on the production AI systems we operate.
Managed operationsTime to a reply from a senior engineer, not a sales desk.
Every inbound requestAgents running in production under approval gates.
To be verifiedCase study, fintech
Ninety-two percent of late payments, prevented.
A consumer-credit client needed to lift customer scores at scale. Algobain built the data pipeline and the ML scoring engine behind the platform, and the controls around it.
The brief
A fragmented data estate, rising late payments and a scoring process that could not keep up with growth. Client name withheld under NDA.
What we built
A fintech data pipeline feeding an ML scoring model, with approval gates on every action that touched a customer's account and a full decision record.
What it runs on
Cloud infrastructure Algobain designed and operates, with retraining, monitoring and incident response handled under managed operations.
One team, from the first diagram to the on-call rota.
Five practices, delivered by the same senior engineers who stay on after launch.
AI agents and automation
Agents that execute real work inside your systems, with approval gates, audit trails and a human owner for every consequential action.
AI-native products
Products designed around a model from day one, not a chatbot bolted onto an existing interface.
Data and ML platforms
Pipelines, feature stores and scoring services built to be retrained, monitored and explained.
Cloud infrastructure
The platform beneath the models: provisioned as code, observable by default, sized for the bill you can defend.
Legacy modernization
Monoliths taken apart without downtime, so the systems you already depend on can carry AI workloads.
How we build
Senior engineers direct the work. Agents do the volume.
Every Algobain engagement runs on an agentic delivery process. A small senior team sets the architecture and makes the decisions, while fleets of AI agents do the parallel work: exploring the codebase, drafting options, writing tests, reviewing changes and checking results. People stay in command of every decision that matters.
Parallel, not sequential
Work that used to queue behind one engineer runs as several agents at once: three design variants in an afternoon, a migration explored from every angle before a line is committed. Calendar time compresses by [X]%.
Fewer hours per outcome
Agents absorb the exploration, boilerplate and regression work, so you pay for senior judgement, not volume. Typical delivery cost is [X]% below a conventional team of equal seniority.
Checked twice, every change
Nothing ships without a failing test written first, a passing run after, a review against the original request, and a gate that blocks if anything existing broke. Visual work is matched against an approved baseline before it is called done.
A record you can audit
Every decision, test result and approval is logged as the work happens. Your team inherits a system with its reasoning attached, not a hand-off deck.
The result
Production-grade work delivered in weeks, with the evidence to show it was built properly, and a human accountable at every gate.
Built by the people who will be on call for it.
Senior engineers from the first meeting
The team that writes the assessment is the team that builds and runs the system. No hand-off to a bench.
A fixed-fee assessment before any commitment
Two weeks. A written roadmap, ROI, build-versus-buy and an exit you can take at any point. No lock-in.
Operated, not handed over
Managed operations in production, with 99.7% uptime across the systems we run today.
Engagement path
Discovery
Weeks 1 to 2Fixed-fee architecture assessment. Roadmap, ROI, build-versus-buy.
Architecture
Weeks 2 to 4Target design, data contracts, governance and the approval-gate map.
Build
Week 4 onwardDedicated senior delivery team, minimum three months, shipping to production in increments.
Run
OngoingManaged operations: monitoring, retraining, incident response, cost control.
Human in command.
Every consequential agent action passes an approval gate that a named person owns. The agent proposes, the gate decides, and the record stays. Procurement and security teams get the paperwork before the demo.
The gate, as your operators see it
Every proposal waits for a person. Every decision leaves a record.
The queue is the control surface your risk and compliance teams review. The log is what your auditor reads. Both are built in, not bolted on later.
What clients say
Senior engineers only. The people who write the assessment are the people on call for the system afterwards.
“Algobain rebuilt a system we had written off as legacy, and shipped it before our last vendor finished scoping the work.”
“They automated the work our support team dreaded, and left us in command of every decision that actually mattered.”
“We grew by an order of magnitude without re-architecting. The system simply held.”
Written for the CTO who has to decide.
Legacy app modernization: a guide for CTOs
How to decide what to keep, what to rebuild and in what order, without stopping the business while you do it.
Request a briefing.
Tell us what you are trying to run in production. Here is exactly what happens after you send the form.
- 1Within 48 hoursA senior engineer replies, not a sales desk. If we are not the right fit, we say so.
- 2NDA, then a working sessionWe sign first. Then a [45-minute] call to understand the system, the constraint and the owners.
- 3A written proposalScope and fixed fee for the two-week assessment. You decide with a document in hand.
Request received.
A senior engineer will reply within 48 hours from a named address. If we are not the right fit, we will say so.