Practitioners, not theorists.
We are a two-person boutique firm — two senior ML engineers who have built data and AI systems in production at scale. Every recommendation we make is grounded in what we have built, broken, and fixed ourselves.
We have seen the same story play out across organisations of every size: an appetite for AI, a pressure to ship something, and a data landscape that is not ready for it. The organisations that succeed with AI are not the ones with the most sophisticated models. They are the ones that did the foundational work first — unified their data, established quality standards, and then equipped their engineering teams to build AI-powered workflows fast.
Once that foundation is in place, the AI layer builds itself relatively quickly. And the possibilities open up. We show you what becomes possible. What you choose to build is yours to decide.
The three-layer model
Data Mobilisation & Foundation
Unify all data, establish pipelines, quality, and observability. Nothing else works without this.
AI-Powered Insights & Intelligence
BI dashboards, natural-language analytics, automated insight, cross-domain intelligence.
Custom AI/SaaS Applications
RAG, knowledge systems, agentic workflows, LLM products built on trusted data.
AI Developer Velocity — equipping your engineering team to build, deploy, and operate AI-powered workflows faster than ever before.
Two engineers. One system.
Pulkit Khera
The engineer who builds the foundation everything else depends on.
Expertise
- →Data pipeline architecture & implementation
- →SaaS data migration & consolidation
- →Data quality frameworks & observability
- →Feature stores & ML-ready infrastructure
- →AI-powered BI and insights layer
- →MCP development & agent tooling infrastructure
Background
MSc Informatics, TU Munich. Published research in federated learning. Data engineering at Deutsche Bank. Recommendation systems at Podimo.
Saumya
The engineer who turns the foundation into products and developer velocity.
Expertise
- →LLM deployment & productionisation
- →RAG architecture on solid data foundations
- →Custom LLM application development
- →Agentic workflow design & deployment
- →AI developer velocity platform setup
- →Conference speaker & workshop facilitator
Background
MSc Informatics, TU Munich. Conference speaker at MLcon Berlin and Munich since 2022. Currently lecturing at Macromedia University.
Based in Berlin, Germany. Working with companies across Europe and India.
How we work
Discovery call — free, 30 minutes
We listen first. We never propose anything before we understand the problem.
Honest recommendation
We tell you what you actually need — including if you need the data foundation before anything else. We will not propose an LLM project if the data is not ready.
Fixed scope and price proposal
Clear deliverables, timeline, payment schedule, and exit conditions. No surprises.
Contract and upfront payment
Simple, plain-English contracts. All IP transfers to you on final payment. NDAs signed before any technical discussion.
Delivery with weekly updates
You always know where we are. Scope changes are discussed before they happen — never after.
Handover + 2-week support window
Full documentation, knowledge transfer sessions, and 2 weeks of async support after delivery.
What you can always expect.
- →We never subcontract without your knowledge and approval
- →All code, pipelines, models, agents, and deliverables are your IP — transferred on final payment
- →We sign NDAs before any technical conversation
- →We will tell you if you need something different from what you asked for
- →We will not propose an LLM or agent project if the underlying foundation is not ready
Ready to talk?
Start with a conversation