Strategy and engineering from one team, building what your business runs on.

A senior software development studio that takes a product from idea to launch, improves the processes around it, and has the data-science depth to build the AI properly.
Our story
We, Nina Baumann and Sarah Nesti, met earning our degrees in Data Science and Machine Learning at Imperial College London, and proved the partnership early by winning an international coding competition at Stanford University against teams from around the world. Since then we’ve built AI systems for organizations ranging from large industrial groups to fast-growing platforms. Our edge isn’t only technical: we step into a business, understand it end to end, and own the outcome, pairing deep machine-learning expertise with the judgment of seasoned operators.
Our approach
Most teams start coding on day one and find the expensive mistakes late. We prove the risky part first, learn from real users, then build. Strategy and engineering from a single team: partners who think like managers and execute like engineers.

How we work

The same rigour on every project, from a small automation to a full platform. Most teams start coding on day one and find the expensive mistakes late. We prove the risky part first, get feedback early, then build the rest.

  1. 1

    Discovery

    Map the workflow, the systems it must touch, and where the real friction is. We leave with a scoped plan and the honest risks named.

  2. 2

    MVP

    Build the smallest thing that proves the hardest part works, on real data, in the real environment: a working prototype you can try, not a slide deck.

  3. 3

    Feedback

    Get it in front of the right people, whether that is your team, domain experts or first users, see where it holds up and where it breaks, and let that reshape the build while change is still cheap.

  4. 4

    Implementation

    Build the full product to production quality, integrate it with your systems, harden it, and support the launch. You are left with a polished, production-grade system your team can rely on and extend.

No wasted builds

Discovery and a real MVP catch the costly mistakes early, so your budget goes into a product that is proven to work, instead of into fixing one that shipped on assumptions.

What we can do

Full-stack build, with applied AI as core work, not an add-on. We size the engagement to the problem, and we are comfortable at both ends: a single model or automation, or a platform that runs your business.

Applied AI & custom models

Both of us hold degrees in data science and machine learning, so AI shapes what is worth building in the first place. We train custom models on your data and build LLM features that fit a real workflow, and tell you honestly when a simpler solution beats a custom model.

  • custom models
  • LLM features
  • MLOps
  • evaluation on real cases

Web platforms & products

Full-stack applications with a guided experience: dashboards, portals, multi-step workflows, role-based access.

  • React
  • TypeScript
  • Node
  • Python

Integrations & partner APIs

Connecting the systems a business already runs on: ERP, CRM, commerce, payment and financing partners.

  • REST
  • webhooks
  • ERP
  • commerce

Data analysis

Turning messy, real-world data into the answer a decision hangs on, not another dashboard nobody opens.

  • pipelines
  • analysis
  • reporting

Automation

The repetitive, error-prone steps a team does by hand, turned into reliable pipelines with monitoring.

  • workflows
  • monitoring

Cloud & infrastructure

The layer that keeps a product up once it ships: deployment, environments and monitoring, so what we build stays reliable in production.

  • AWS
  • CI/CD
  • Docker
  • monitoring

About us

We take on the whole problem and own the outcome. We come in, work out how to solve it properly, and stay accountable for the result, from first idea to shipped, production-grade system.

Nina Baumann
Nina Baumann
Co-founder · AI & Strategy
Sarah Nesti
Sarah Nesti
Co-founder · Data Science & Machine Learning

A project we delivered

A full enterprise platform, start to finish. We ran it in two phases, and kept a design-partner programme running through both so the direction was validated with real users the whole way, not just at the end.

6.5 months
idea to launch
1 platform
full journey
4 financing partners
integrated
5 design partners
as references
Phase 1 · Discovery & MVP

Ran discovery with the client’s technical owners and mapped the platform onto every system it had to touch.

Designed a guided end-to-end experience that lets any user pick up the journey at any step, with an AI assistant routing them to the right next action.

Built a clickable MVP on real data to prove the hardest part before committing the full build.

Phase 2 · Implementation

Built the partner-integration layer: financing, design tools, permitting, plus the ERP and commerce stack.

Trained an AI model to turn an incoming design into a compliant bill of materials, with human review for edge cases.

Hardened it to production quality and supported the launch to a commercial date.

Design-partner programme

Runs through both phases: multiple real users onboarded during the build, validating the direction and arriving at launch as references.

Client kept confidential. Reference available under NDA.

Contact us

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