For Teams
For founders, ops leaders, and teams building production AI — and the build partner who'll stay until it's working. Custom development, strategy, audits, and long-term retainers. We're senior AI engineers who write code that has to keep working when you're asleep.
Who we work with
If you're at the stage where AI matters to your roadmap but hiring a full team is overkill, we're built for you.
You've validated the problem. You need someone who can translate vision into a production AI system, ship the MVP fast, and stay around to iterate as you find product-market fit.
Your team has real workflows that AI could compound — but you don't have a full ML org to build them. We integrate with what you have, ship what you actually need, and don't disappear.
You have engineering, but AI is a different skill set. Bring us in to architect, prototype, and de-risk before you commit a permanent team. Or we ship the whole thing and hand it off.
You sell strategy and campaigns; you need someone to handle the AI side white-label. We can sub under your brand or work in parallel — your call.
What we deliver
Most clients start with one and graduate to a long-term retainer once the system is in production.
01
End-to-end design and build of production AI systems. Conversational AI, document intelligence, recommendation engines, workflow automation, retrieval, custom-trained models. Discovery → architecture → build → deploy → handover or maintenance.
Project-based · typically $15k–$80k+ depending on scope
02
Where to apply AI, what it'll cost, what to build first, and how to measure it. AI readiness assessment, opportunity identification, technology stack recommendations, ROI projections, and a 6–18 month implementation roadmap with concrete milestones.
Engagement-based · typically $5k–$25k
03
Independent review of an existing AI system: bias and fairness analysis, explainability assessment, data governance review, compliance gap analysis, and a prioritised remediation roadmap. We tell you what's safe, what's risky, and what to fix first.
Engagement-based · typically $8k–$30k
04
Ongoing AI engineering, monitoring, iteration, and strategic guidance — billed monthly, no annual contract. Built for teams who want a senior AI partner on call without hiring a full team. Includes monthly strategy reviews and direct access to senior engineers.
Retainer · typically $5k–$25k/month
Engagement model
The shape that fits most teams: a defined initial build, then we stay on as a retainer to iterate, monitor, and extend.
Phase 1 — Project (4–12 weeks). Scope, architect, build, deploy. Fixed scope, fixed budget. You get working software at the end of every two-week sprint, not at the end of three months.
Phase 2 — Retainer (ongoing). Monthly billing for continued engineering, iteration, and on-call senior support. Cancel any time — we don't lock in. Most clients stay 12+ months because the system keeps producing returns.
What we don't do. Hourly billing. Time-and-materials open-ended scopes. SOWs that paper over scope creep. We quote outcomes, not hours.
Proof at scale
ShamelaGPT · Knowledge AI · Live
ShamelaGPT grounds AI responses in verified Islamic texts and cultural context. Built to handle the nuance, citations, and edge cases that generic LLMs get wrong. Same architecture pattern (retrieval, structured grounding, evaluation harness) works for any domain where accuracy matters more than fluency — legal, medical, regulatory, internal knowledge bases.
Read the full case study →$5k is our floor for strategy work. $15k for custom development. Below that we'd be cutting corners we'd regret. If you have a smaller budget but a real problem, take a look at the local-business retainer — different shape, lower entry point.
Yes — standard mutual NDA, signed before any meaningful technical discussion. We have a template ready, or we'll sign yours.
Yes. Common for agency partnerships. We'll work out attribution, communication channels, and IP terms before kickoff.
We're stack-agnostic but opinionated. Default to Python for AI workloads, TypeScript/Node for application layers, Postgres + pgvector for retrieval, and major LLM providers (OpenAI, Anthropic, Google) chosen per use case. We'll integrate with your existing stack rather than force a rewrite.
You own everything we build for you — code, models, data, documentation. Default contract assigns full IP to the client on payment. We retain the right to talk publicly about the engagement (with your approval) for case studies; everything else is yours.
If we're a fit and the timing works, yes — we don't have a non-poach. We'd rather see a great engineer succeed at a great company than block them with paperwork.
30-minute discovery call. Tell us what you're trying to build, what's blocking you, what done looks like. We'll tell you whether we can help and what it would take.