Software, AI, and cloud engineering for startups.
MVP to Series-B engineering partnership.
How we work in startups.
Startups teams operate under constraints that most generic software shops underestimate — regulatory, operational, or commercial. We have shipped enough in this sector to know which corners can be cut and which cannot.
Every engagement begins with mapping those constraints explicitly. From there we build in production-shaped slices, with the security, compliance, and observability posture you will eventually be audited against in place from week one.
The non-negotiables are part of the architecture.
Compliance
The first release includes the controls needed to pass diligence without slowing validated learning.
Latency
Demo, pilot, and activation paths stay fast enough to prove the product in front of real customers.
Auditability
Customer activity, experiments, and product decisions leave enough evidence for investors and early buyers.
Data security
Foundational identity, tenancy, and data handling prevent the rewrite tax after traction appears.
User adoption
Pilot users get focused workflows that prove value before the product surface area expands.
A pragmatic path from discovery to production.
We avoid theatre by shipping one auditable, observable workflow first, then using real adoption and operating data to guide the next slice.
Map
Make constraints explicit
Document the journeys, systems, controls, and metrics that decide whether the work is safe to ship.
Slice
Build the first production path
Deliver one valuable workflow end to end with integrations, security, telemetry, and support in place.
Scale
Expand with evidence
Use adoption, latency, quality, and business metrics to decide what to automate or modernise next.
Software patterns we see repeatedly in startups.
MVPs and investor demos
Pilot-ready SaaS products
Product analytics
Scalable foundations
We choose stacks for reliability, hiring depth, integration fit, and long-term ownership.
Next.js
MVP
NestJS
API
PostgreSQL
Data
PostHog
Product proof
The capabilities most often combined for startups teams.
A representative outcome, not a vanity demo.
We anchor industry work to measurable operational, commercial, and adoption outcomes.
From MVP to Series A in nine months — without the rewrite tax
Pre-seed B2B startup
Shipped a B2B SaaS MVP in 12 weeks that supported the founders through pilot, paid contracts, and a successful Series A — without a rewrite along the way.
- MVP shipped
- 12 weeks
- Pilots to paid
- 7 of 8
- Series A raised
- $11M
What we typically deliver.
Custom platforms
Core systems built around how your operations actually work, not a vendor template.
AI & data products
Models and pipelines that survive contact with production, with the evaluation harness to prove it.
Cloud & platform
Landing zones, replatform projects, and developer platforms tuned for your compliance footprint.
Modernisation
Strangler-pattern moves off ageing systems, with measured cutovers and no big-bang surprises.
Security & compliance
Secure SDLC, threat modelling, and audit-ready evidence baked into delivery — not bolted on.
Embedded teams
Senior engineers and SREs embedded with your team for the time it takes — and not a day longer.
Ready when you are
Talk to a startups engineer.
A senior engineer with industry experience will follow up within one business day.