BESPOKE DEVELOPMENT

Custom Software, Built AI-Native From Line One.

When the workflow is unique to you, the software has to be. We build production-grade bespoke applications spec-driven, eval-gated, and MCP-integrated – on outcome-based contracts where you want them.

Book a Free Bespoke Scoping Session
Talk to a Lead Engineer

When Bespoke Wins

SaaS is great until it is not. Whenever a workflow is the difference between your business and the rest of the industry, bespoke beats configuration every time. The challenge has always been time and cost – and that is what our AI-native delivery model fixes.

  • You have a workflow no off-the-shelf vendor will ever build.
  • You need integration depth that SaaS APIs cannot reach.
  • Your differentiator is operational, not commercial and the software must reflect it.
  • Total cost of SaaS subscriptions is exceeding what bespoke would cost over 3 years.
4-6X
Faster than traditional teams
6 wk
Hero use-case to first user
~30%
Fee at risk on outcome deals
100%
Production-ready handover

Baselines benchmarked against incumbent vendor quotes for equivalent scope, with independent advisory validation on engagements over $5M. Total programme TCO includes build, dual-running, training, change management, and 24 month run rate operations full methodology available on request.

How We Build

Hero Use-Case First

Every build starts with one user, one workflow, one outcome. We ship that to production in six weeks, then scale around it. The "we will plan for a year and ship in eighteen months" pattern is dead at SMI.

AI-Pair-Programmed Sprints

Every engineer is paired with Claude, Copilot, or Cursor chosen per task. Pull request cycles run nightly. Tests, docs, and ADRs are generated alongside the code, not as catch-up work in week 23.

Production-Grade From Sprint One

CI/CD, observability, security, accessibility, and FinOps are sprint one work not items pushed to a hardening phase that never happens. We do not ship MVPs that take six months to make production-safe.

Our Tech Stack

Frontend

Default : React, Next.js, TypeScript
Also Strong On : Vue, Angular, Svelte

Backend

Default : Node.js, Python (FastAPI), .NET, Java
Also Strong On : Go, Ruby on Rails

Mobile

Default : React Native, Flutter
Also Strong On : Native iOS / Android

Data

Default : Postgres, Mongo, Redis
Also Strong On : DynamoDB, Cassandra

AI integration

Default : Anthropic SDK, LangChain, LlamaIndex, MCP
Also Strong On : Custom orchestrators

Infra

Default : AWS, Azure, GCP — Terraform / Pulumi
Also Strong On : On-prem & private cloud

Observability

Default : OpenTelemetry, Datadog, Grafana
Also Strong On : New Relic, Honeycomb

Engagement Models

1
Outcome-Based
You define the success metric. ~30% of fee tied to delivering it
2
Fixed-Scope, Fixed-Fee
For well-defined hero use cases. 6-week first release
3
Time & Material
Pods of 3–7 engineers for evolving roadmaps
4
Co-Build
We embed in your team. You ship more, faster and keep the muscle.

What You Actually Get at the End

  • A production application running on your cloud, owned by you, source controlled in your org.
  • Architecture documentation, ADRs, and run books all written as we built.
  • CI/CD pipelines that your team can run from day one of handover.
  • Observability dashboards mapped to the business metric, not just CPU and memory.
  • A team that knows your domain available on retainer or for the next build.
Industries We Build For

Manufacturing

Plant-level transformations, OEE-led programmes, digital-twin pilots.

BFSI

Customer-acquisition, underwriting, and servicing transformations.

Healthcare

Patient-journey transformations, claims and prior-auth modernisation.

Retail

Omnichannel, customer-360, store-ops transformations.

Supply Chain

End-to-end visibility programmes, demand-sensing rollouts.

FAQ

Frequently Asked Questions

How does the outcome-based contract actually work?
We agree the metric, baseline, and floor / target / stretch tiers up front. About 70% of fee is base and 30% is at-risk. We do not propose outcome-based work where the metric cannot be measured cleanly – that protects both sides.
Four layers. Spec-driven inputs: prompts run against curated architecture / domain specs, never open-ended. Test-first generation: behavioural tests written before the feature, then the AI must satisfy them. Deterministic gates: static analysis, type-checks, dependency scan, regression suite block every merge. Eval-driven CI: a behavioural eval suite blocks merges that regress correctness or hallucination rate. Human review sits on top. This is also the answer to the question your security and architecture teams will ask.
We use Claude, GitHub Copilot, and Cursor via enterprise-tier endpoints with zero-retention configuration and IP indemnification flowed through from our vendors (Anthropic, GitHub, Cursor) into our MSA with you. Every release ships with SBOM and SLSA-aligned attestation. AI-suggested lines carry the same provenance trail as human-written code. The full IP / data-handling summary is part of MSA – not a separate appendix shared “on request.”
All three are configured at enterprise tier with zero data retention. Prompts and responses are not used for training. Where workloads warrant tighter controls – clinical, defence, or sensitive financial – self-hosted open-source generation replaces the frontier-model path. Data residency respected per your jurisdiction (DPDP / GDPR / RBI / HIPAA / FedRAMP, where applicable). BAA available for healthcare engagements.
You do. Every commit lands in your source repository under your org. No third-party hosted dependencies; no SMI-controlled keys; no lock-in clauses.
That is the Build-Operate-Transfer model. We run for 12-24 months, then transfer ownership cleanly. We will train your replacement team alongside the build at no extra fee.

Ready to Build?

Book a 45-minute scoping call. We will define the hero use-case, agree on a 6-week first-release plan, and put a written proposal on your table within five working days.
Book a Demo