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AI Development & AI Products. From idea to production.

Startup House builds custom AI solutions — agents, ML models, data pipelines — and ships its own AI products for enterprises. Whether you need AI built into your platform or a ready product deployed in weeks, it starts here.

Talk to an AI engineer

Trusted by teams at

Siemens
Siemens Healthineers
PwC
Geberit
Toyota
Rainbow
Chooose
Omnipack
Lexolve

What does Startup House do in AI?

Custom AI development and our own AI products — strategy, build, and long-term operation under one roof.

PoCs, AI agents, ML models and semantic search — engineered on your data and shipped to production.

The ground rules of every AI engagement:

  • Proof-of-concept delivered in 2–6 weeks
  • Products live on your data in weeks
  • Your data never trains public models
  • Deployable in your own cloud

Ready-to-deploy AI products

Built by our engineers, deployed on your data — in weeks, not quarters.

KnowHub

KnowHub

A GPT-like knowledge platform for enterprises: your documents, wikis, and expertise become a secure AI assistant that answers employee questions 24/7.

Always up to date data

Self-service users will actually use

Faster time-to-productivity

InProduct AI

InProduct AI demo

A conversational copilot embedded in your SaaS: it guides users, documents itself, and turns your product's complexity into a chat away.

Integrates directly with your codebase

Generates real-time technical documentation

Proactively guides users to high-value features

SmartSearch

Semantic AI search that understands intent and verifies every answer against your source data — built for complex catalogues and content-heavy platforms.

Analyzes descriptions and comments, not just tags.

Understands intent and prioritizes conditions.

Verifies each requirement with a proof of fact.

AI Interface Layer

A ChatGPT-style interface on top of your legacy platform — modern conversational UX without rebuilding the system underneath.

Works on top of your existing platform

No rebuild of the system underneath

Modern conversational UX in weeks

Build with AI — our services

From first proof-of-concept to AI systems running in production — pick the entry point that fits.

01

AI Services

Custom AI development end to end: PoCs, AI agents, LLM integrations, and ML features shipped into production systems.

See AI Services→

02

Data Science

Models, forecasting, and machine learning grounded in your data — from exploration to deployed, monitored models.

See Data Science→

03

Data Analytics

Pipelines, warehouses, and dashboards that make your data usable — the foundation every AI initiative stands on.

See Data Analytics→

04

AI-Native Pod

A dedicated team of engineers accelerated by AI tooling — shipping faster without compromising code quality.

See AI-Native Pod→

05

No-Code & AI Development

Rapid product builds where AI and no-code platforms shorten the path from idea to working software.

See No-Code & AI→

06

BOT — Build, Operate, Transfer

We build and run your AI-powered team, then hand it over — a low-risk way to grow an internal AI capability.

See BOT→

AI we have shipped

See all case studies

Frequently asked questions

Startup House covers the full AI lifecycle: strategy and R&D exploration, proof-of-concepts, custom AI agents and LLM integrations, machine-learning models, data engineering and analytics, and long-term operation of AI systems in production. Alongside custom work, we offer ready-to-deploy AI products — KnowHub, SmartSearch, InProduct AI, AI Interface Layer, and Compliance Copilot.

Buy when your problem is common: internal knowledge access (KnowHub), product search (SmartSearch), in-app guidance (InProduct AI), or compliance workflows (Compliance Copilot) — a product deploys in weeks on your data. Build custom when AI is your differentiator or the workflow is unique to your business. We do both, so we will recommend the cheaper path honestly — and products can be extended with custom work later.

AI systems run in dedicated, isolated environments; your data is never used to train public models. Access follows your existing roles and permissions, data is encrypted in transit and at rest, and deployments can live in your own cloud. We work with regulated industries — FinTech, HealthTech, cybersecurity — so security review and compliance documentation are part of the process, not an afterthought.

A proof-of-concept typically takes 2–6 weeks and answers the key question: does AI work on your data? Deploying one of our AI products takes a few weeks including integration. Custom production systems usually run 2–6 months depending on scope. We always start with the smallest step that produces evidence.

Start with our AI Readiness Quiz or an R&D Exploration sprint. Both turn a vague ambition into a concrete assessment: where AI will pay off in your organization, what data you need, and what the first buildable step is — before you commit a real budget.

Yes — most AI engagements are collaborations. We can deliver end to end, embed AI engineers into your team, or run a Build-Operate-Transfer model where we stand up an AI capability and hand it over to you with documentation and training.

FinTech, HealthTech, Cybersecurity, EdTech, Travel, and Food Manufacturing are where we have shipped most — including an AI-powered cybersecurity management platform and demand-forecasting systems. The common denominator is enterprises with real data and regulatory constraints, not industry labels.

Ready to put AI to work?

Tell us your goal and your data. We will show you the shortest path to a working AI system — product, custom build, or both.

Book a 30-min AI consultation

Work with a team trusted by top-tier companies.

Siemens
PwC
Toyota