Your business needs AI capabilities to stay competitive. Your team is already at capacity. We embed a dedicated squad that ships production-grade AI in weeks, not quarters.
What We Build
Flexible AI solutions for teams and products.
01
Behavioural models that surface the right content, product, or action for each user. Deployed into your existing stack, no external dependencies.
02
Extraction, classification, and validation pipelines for contracts, invoices, compliance docs, and forms. Structured output ready for your downstream systems.
03
Fraud detection, churn scoring, credit risk, demand forecasting. Models trained on your data and integrated into your decision workflows.
04
LLM-powered assistants and co-pilots connected to your knowledge base, APIs, and internal tooling.
05
Vibe Code Cleanup
Your prototype works and generates revenue, but the architecture is held together with tape. We rebuild it for scale: proper structure, testing, monitoring, and deployment pipelines.
06
Workflow Automation
Multi-step AI workflows that replace manual review queues, routing logic, and repetitive knowledge work. Every flow has a human handoff point.
The Squad
2-7 people. Composition is flexible depending on what you need to build.
AI Engineers
ML Specialists
Data Engineers
Squad Lead
From Evaluation Call to First Sprint in Under a Month
01
Tech Discovery
You walk us through your product, stack, and AI needs. We assess fit and assemble the right squad.
60 min
02
Squad Proposal
We define the team, sprints, and milestones. You receive a monthly proposal with a clear scope.
2-3 days
03
Kick-Off
The squad joins your sprints, reviews the codebase, and aligns on architecture.
Week 1
04
Build
Two-week sprints, async updates, and scheduled check-ins. Progress is visible at every sprint.
Ongoing
Here Are the Answers
to Your Questions
How is this different from hiring a contractor?
Contractors take tickets in isolation. The squad embeds in your team — they join your standups, review your PRs, and own delivery outcomes. The difference is context and accountability.
What if our prototype was vibe-coded?
That's one of the most common starting points. We assess what's worth keeping and what needs to be rebuilt. The goal is a production-grade system your team can own and extend.
Can the squad work with our existing stack?
In most cases, yes. We work with your infrastructure — AWS, GCP, Azure, existing data pipelines, or proprietary tooling. We confirm compatibility before anything starts.
Who owns the models and code we build together?
Everything built is yours: models, pipelines, documentation, deployment configs. We run a structured handoff so your team can operate what we built.