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Engagement & estimation

Scope & delivery estimator

Pick the engineering domain, the product scope and how you want to work with us. You get an indicative timeline, an illustrative squad, and the deliverables that engagement produces.

01Primary engineering domain
02Target product scope
03Collaboration model

Instant scope output

Architectural summary

Est. timeline
4–6 weeks
Squad
2–3 senior engineers
Complexity
Advanced AI

Recommended stack

  • Python (FastAPI)
  • PyTorch
  • OpenAI API
  • Qdrant / Pinecone
  • React / Next.js
  • AWS

Primary deliverables

  • Vector database document ingestion pipeline
  • RAG query router with a verification harness
  • Production REST endpoints and dashboard UI

Working cadence

Two-week sprints, continuous delivery after the first release

Apply this to a proposal

Timelines are indicative and assume access to the systems and people involved. A discovery sprint helps establish a scoped proposal. Staffing and availability are confirmed separately.

Engagement structures

Flexible engagement models

Most engagements start in one model and move to another as the work evolves. We are explicit about which one you are in.

Dedicated engineering pod

A dedicated pod drawn from our senior team, sized to your roadmap and agreed in writing, working inside your agile process.

  • Agile sprint integration with your own team
  • Continuous velocity and roadmap execution
  • Direct channel access — Slack, Git and your tracker

Best suited for

Long-term product roadmaps, ongoing feature expansion and scaling products.

Discuss this way of working

Fixed-scope project delivery

Agreed deliverables, clear milestones, fixed budget and a defined timeline.

  • Agreed deliverables and a fixed timeline
  • Clear milestone breakdown with demos
  • Predictable budget management

Best suited for

Clearly defined scope, MVPs, system upgrades or discrete module creation.

Discuss this way of working

CTO & architecture advisory

High-impact consulting from senior architects to guide engineering decisions.

  • Technical debt and security audit
  • Scalability and cloud infrastructure roadmap
  • AI and LLM integration advisory

Best suited for

Technical due diligence, re-architecture, AI readiness or team mentoring.

Discuss this way of working

Co-engineering & augmentation

Senior engineers embedded directly into your existing squads and Git workflows.

  • Immediate cover for a specialist skill gap
  • Minimal onboarding friction
  • Code contributions from the first sprint

Best suited for

Existing engineering teams needing specialised AI, cloud or backend expertise.

Discuss this way of working

Clear scope before commitment

Discovery, delivery fees, milestones, payment terms and support are agreed in a written proposal before work begins. Estimates illustrate possible team shapes and timelines; they are not a quote or a promise of availability.

Cloud hosting, third-party APIs, licences and applicable taxes are identified separately. Project code ownership, third-party licence obligations, confidentiality and handover are covered in the agreement. We can arrange a mutual NDA before you share sensitive material.