Question 1

What AI services does Startup House offer?

Accepted Answer

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.

Question 2

Should we buy an AI product or build custom AI?

Accepted Answer

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.

Question 3

How do you keep our data secure in AI projects?

Accepted Answer

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.

Question 4

How long does an AI project take?

Accepted Answer

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.

Question 5

What if we don't know where to start with AI?

Accepted Answer

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.

Question 6

Do you work with our in-house engineering team?

Accepted Answer

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.

Question 7

Which industries do you build AI for?

Accepted Answer

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.

AI Development & AI Products. From idea to production.

What does Startup House do in AI?

Build with AI — our services

AI Services

Data Science

Data Analytics

AI-Native Pod

No-Code & AI Development

BOT — Build, Operate, Transfer

AI we have shipped

Building a scalable SaaS application for climate action

Building Embedded AI Into the Cybersecurity Platform

Legacy Data into an AI-Powered Cybersecurity Management Platform

Is your company ready for AI?

Frequently asked questions