From idea to a working MVP in 12 weeks

End-to-end development for new software products, with AI built into every stage, from idea to launch.

• Clickable prototype in 2 to 3 weeks
• Live to real users by week 12
• 100% your code and IP

About

We take greenfield projects from concept to production in weeks.

You know what you want to build. The risk is how you build it. You need something real in front of users, fast. That pressure pushes teams to build now and fix later. It’s exactly where most MVPs break.
The code bloats. The logic tangles. What got you to launch becomes what you rebuild to grow. Production software carries real users, real data, real accountability. We build for that from week one, at MVP speed.

One team. Three phases. Twelve weeks.

Production discipline, at MVP speed. The Notch 3S Method™ takes you from a defined problem to software your users depend on. Senior engineers run the work, with Sovera AI™ and NotchForge™ accelerating the engineering underneath.

1–3 weeks

SCOPE

Your decision-makers and our team, working together. Sovera AI™, our agent-orchestration platform, runs the domain research, surfaces edge cases, and flags assumptions. You leave with a prototype and a plan.

4–12 weeks

SHIP

The plan becomes working software in front of real users. NotchForge™ - Notch's delivery framework - governs how agents operate and where humans sign off. Short cycles, progress is visible every week.

Ongoing

STRENGTHEN

Two parallel tracks: Harden (performance, security, observability) and Evolve (next user journeys informed by real user behavior). Monthly checkpoints. The same team stays on.

Who is it for?

You have a new product to build, leveraging all the speed and quality AI now enables.
When speed to market matters, and the first version needs to hold up as the product scales.
You're entering a new market or business line and want the technical foundation built clean.
When your product needs to keep evolving with user behavior, with a team built for continuity.

What you get

1
Clickable prototype & plan

A clickable prototype and a build plan, inside the first three weeks.
2
Working software

Working software in front of real users, with weekly releases you can see.
3
Clean architecture

Clean architecture with automated tests, built to carry 10x the load without a rewrite.
4
Full traceability

Every commit: documented, traceable, and explainable before it goes live.
5
All yours

100% of the code and IP, yours to read, extend, and take anywhere.

A clickable prototype and a build plan, inside the first three weeks.

Working software in front of real users, with weekly releases you can see.

Clean architecture with automated tests, built to carry 10x the load without a rewrite.

Every commit: documented, traceable, and explainable before it goes live.

100% of the code and IP, yours to read, extend, and take anywhere.

Let's launch your MVP in 12 weeks

Proven results with real clients

Candid AI

75% faster CV creation

For Candid AI, a UK-based company transforming employability support through ethical, human-led AI, converting personal stories into CVs was slow, admin-heavy, and poorly served by generic AI.

Notch built a custom agentic AI system, trained by expert CV writers. This scalable platform generates tailored, ATS-friendly CVs and cover letters in minutes, using Pydantic-AI/CopilotKit and OpenAI. Caseworkers keep full editorial control, with role-specific tweaks and manager dashboards for visibility.

The result: CV creation time dropped from 45-60 minutes to 15 minutes, a 75% time saving, giving caseworkers more capacity to support clients and coach effectively.

Sovera AI™

50% shorter up-skilling

Certifying a team of engineers quickly and at scale is hard to achieve when relying solely on human mentors.

Notch built a certification application on Sovera AI™, its own agent orchestration platform. The platform presents engineers with AI-generated scenario-based tasks. Sovera AI™ evaluates every step in real time, explains what’s right and wrong, and advises engineers how to improve. Completed tasks earn certificates tied to real capability.

The result: engineers are certified 50% faster than with human mentors alone, with zero platform modifications needed to add the new agents.

AI-Powered Automated Data Processing

30x faster processing

Processing manufacturer product data was manual and error-prone. Analysts spent roughly an hour per complex document, capping accuracy at 92-93% and severely limiting scalability.

For a leading platform for product content orchestration specializing in collecting and standardizing product information, Notch built an AI-powered system that automates product data transformation using LLMs, RAG, and vector databases.

The result: workflow time dropped from 1 hour to 10 minutes per document, complex document processing sped up 30x, and accuracy reached 85%, closing in on the human benchmark.

Let’s get you from idea to working software product in 12 weeks.

Schedule a scoping call

Emma Alkirwi

CEO, Candid AI

” The Notch team actively looked ahead, anticipated challenges, and brought solutions before we had to ask. It was clear they cared about outcomes, not just outputs.”

Your AI engineering partner.

Decades of engineering discipline, architecture thinking, and business understanding, AI-native by default. Real work and measurable outcomes at every stage.

300+

Projects delivered

50+

Clients

5 yrs

Average engagement

4.9

On Clutch

Why Notch?

Saving-software-development-costs-with-business-analysis

The team you meet is the team that delivers

80% senior engineers, no layers. The person who scopes your product is the one building it.

100 AI champions

AI-native experts across engineering, design, and analysis who understand your business well enough to connect every technical decision to a real business outcome.

Problem-solving from day one

Coding agents handle the repetitive work, so senior engineers focus on architecture, business logic, and edge cases. Expert judgment applied where it matters.

Proven before it reaches you

Sovera AI™, our agentic AI accelerator platform, was built internally and proven in production before it ever touched a client engagement.

New AI Software Products

An end-to-end AI engineering partner covers the full lifecycle – from identifying where AI creates business value, through design and architecture, to building, deploying, and governing production AI systems. Unlike consultancies that stop at strategy or vendors that hand off at delivery, an end-to-end partner owns the outcome across every stage.

Scope and complexity determine timeline, but a well-structured engagement typically moves from discovery to initial deployment in 8–16 weeks. A scoping phase (2–3 weeks) defines the problem, data requirements, and governance model. Build phases follow a structured sprint schedule, with working components delivered throughout, not just at the end.

What is a greenfield project, and how is it different from rebuilding an existing software product?

A greenfield project is a new software product built from scratch – while respecting organizational-wide architectural standards and available data sources. Unlike a rebuild or modernization, you’re not working around existing systems. The architecture, stack, and AI layer are all designed for current needs from day one. You get software that is more adaptive, resilient, and aligned with your long-term business needs.

The same team stays on. The Strengthen phase runs two parallel tracks: Harden (performance, security, observability) and Evolve (next user journeys informed by real behavior). Monthly checkpoints keep priorities aligned. The goal is a product that keeps improving, not a handoff and a goodbye.

Before committing to build, it’s worth running an AI Discovery or AI Audit to identify where AI creates the most value relative to implementation complexity, assess data readiness, and align stakeholders on success criteria. Skipping this step is the most common reason AI projects stall mid-delivery or fail to reach production.

How involved does our team need to be during the build of a new software product?

Collaboration is structured into every phase. During Scope, your decision-makers join working sessions to align on goals and sign off on the build plan. During Ship, progress is visible every week – short cycles, no black-box periods. You’re in the room, not waiting for a final reveal. The level of daily involvement is flexible, but the principle is collaboration over handover.

How do you make sure the software product is built to scale, not just to demo?

Clean architecture and documented decisions from day one. Every feature goes through Specification-Driven Development (SDD) – defined, reviewed, and approved before implementation begins. The codebase is built so your team can open it, understand it, and extend it. We design for years of growth, upgrades, and pivots, not just a launch milestone.

ROI from AI engineering is measured against specific operational baselines – processing time, error rates, headcount per unit of output, or cycle time. Defining these baselines during the scoping phase is essential. Common measurable outcomes include reductions in manual workflow time (often 50–75%), faster document processing, and shorter time-to-production for engineering teams.