Advanced AI, built to run in production.
We design, build, and operate autonomous AI agents and the intelligent systems beneath them — engineered end to end, owned by one team, measured by outcome, and run by us in production.
Most companies adopt AI.
We build the systems that make it decisive.
For the autonomous enterprise
AI leads. Everything beneath it is engineered to match.
From applied models to the infrastructure that runs them — one team across the full stack, accountable to a number.
- Generative AI & agentsCustom agents and copilots built on frontier models, tuned to your domain.
- Machine learningForecasting, ranking, and prediction running quietly in production.
- Agentic workflowsMulti-step agents that orchestrate real work, under policy.
- Full-stack productProduction web apps and platforms, built to last.
- MobileNative-grade iOS and Android, considered on every screen.
- APIs & servicesClean, versioned interfaces between the systems that matter.
- Cloud architectureInfrastructure that scales with the load and the cost in view.
- Data engineeringPipelines and warehouses that make data usable in real time.
- Security & complianceProtection designed into the architecture, not bolted on after.
AI leads. The full stack follows.
A dedicated team of 2–3 senior engineers embedded in your sprint cycle. Every engagement is production-grade, owned end to end, and measured against a number.
AI Agents & Copilots
Custom autonomous agents that read context, make decisions, and take action — built on frontier models and tuned to your domain. From single-task bots to multi-agent orchestration.
- LangGraph & CrewAI
- Multi-agent orchestration
- RAG & memory
- Human-in-the-loop
LLM-Powered Products
Full-stack web and mobile products with LLMs embedded in the core workflow — not bolted on. Built fast, shipped to production, measured by outcome.
- AI-native web apps
- Semantic search
- Intelligent dashboards
- Mobile AI interfaces
Data & ML Pipelines
Pipelines, warehouses, and ML models that turn raw data into decisions your agents can act on — in real time, with the lineage to trust them.
- Real-time pipelines
- Feature engineering
- MLOps
- Vector databases
Agent Infrastructure
The cloud infrastructure your agents depend on — designed for low latency, high availability, and cost efficiency at scale. So your agents never go down when it matters.
- Kubernetes orchestration
- Agent observability
- Auto-scaling
- CI/CD for AI
Workflow Automation
Business processes rebuilt around intelligent automation — integrated with your existing tools, fully observable, and free of the brittle glue that breaks at the worst moment.
- End-to-end automation
- Legacy integration
- Event-driven flows
- Audit & compliance
AI Roadmap & Advisory
A structured discovery engagement to map where AI can move the needle in your business — with a prioritised build plan and honest ROI projections before any engineering starts.
- Use-case discovery
- Architecture review
- Build vs. buy analysis
- ROI modelling
Systems we've shipped.
BetterHealth - Diet & Fitness Platform
AI-driven recommendation engine generating dynamic diets using ML algorithms, delivered via a mobile interface.
Credit Score Improvement Platform
Data pipeline and ML scoring system parsing vast financial datasets to predict and improve user credit health.
Coin Rewards Transaction System
Blockchain-backed autonomous transaction ledger that programmatically rewards user payment behavior.
EDC - Electronic Data Capture for Cancer Care
Clinical intelligence system structuring unstructured oncology data for advanced predictive modeling.
Built alongside teams shipping real systems.
“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.”
A process built for ambitious systems.
Discovery
We map the objective, the data, and what success has to look like — before a line of code.
Architecture
System design, the right models, and a plan you can hold us to.
Build
Short cycles, working software, and your team in the loop throughout.
Run
Production launch, observability, and the loops that keep it improving.
Request a Technical Discovery Engagement.
A structured 60-minute session with a senior Algobain engineer. We analyse your systems, map your highest-value AI opportunities, and deliver a written technical roadmap — before any engagement begins.
- A senior engineer reviews your current architecture and data infrastructure
- We identify the 2-3 highest-ROI AI automation opportunities in your stack
- You receive a written technical specification and build roadmap
- Fixed 60-minute session with a senior Algobain engineer — no sales team, no pitch deck
We take on 3–4 engagements per quarter.
If you are evaluating AI partners for a production system, submit early. We will respond within 48 hours.