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AI implementation for mid-size and large companies

Startup House is a Warsaw software house that brings AI into mid-size and large companies: AI agents, AI assistants and RAG knowledge bases, integrated with the systems you already run, including ERP, CRM and legacy.

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Trusted by:

Siemens
Siemens Healthineers
PwC
Toyota
Geberit
Rainbow
Chooose
Omnipack
Lexolve

Do these challengessound familiar?

  • Company knowledge is scattered across many systems.
  • AI ideas only work in slide decks.
  • Data security concerns are holding the rollout back.
  • Nobody wants to touch the legacy systems.
  • Teams use public AI tools with no oversight.
  • Support answers the same questions every day.
  • Getting data out of ERP and CRM means asking IT for a report.
  • IT has no capacity to roll out AI.
  • Onboarding new hires takes months.
  • Demand forecasts are built in spreadsheets.
  • Users ignore half of the platform's features.
  • Compliance reporting is done by hand.

Choose what best fits your business needs:

We build AI solutions from scratch, on your company's data and inside your systems.

AI agents carry out tasks in your company's systems: they gather data, prepare documents and trigger the next steps of a process, including in multi-agent systems. Every action is logged, and a person approves decisions with significant consequences. We build the orchestration with LangGraph and MCP.

Ready-made AI products

SH's own products, adapted to your company's processes and systems.

  • Combines ERP data with market signals and recommends production decisions to support your S&OP process.

  • An AI assistant for tracking compliance with DORA, GDPR, NIST and ISO 27001: it walks you through the requirements step by step, drafts internal policies and monitors your systems.

  • Semantic search that understands the intent behind a question and checks every result against your company's data.

  • An AI assistant that answers only from your company's documents and cites the source with every answer. Integration takes about 2 weeks and starts with a pilot group.

Results: Startup House case studies

See all case studies

What AI implementation looks like in a large company

  1. 01

    Discovery

    Workshops with your team, an assessment of data and processes, and a proposed architecture.

  2. 02

    Pilot

    The solution runs on a data sample with a pilot group. We compare the results with your current process.

  3. 03

    Production

    Integrations with your company's systems, role-based permissions, evaluations before every change.

  4. 04

    Maintenance and development

    AgentOps monitoring: answer quality, cost per agent, action logs.

Engagement models

Most chosen for AI implementations

From discovery to deployment

We run the whole process, from workshops to maintenance.

  • Discovery
  • Pilot
  • Production
  • Maintenance and development

Secure AI on your company's data

Our AI solutions run on your data, in your environment and under your control.

  • ISO 27001

    ISO 27001 compliant.

  • Your data stays yours

    Client data is not used to train public AI models.

  • Your cloud

    Solutions run in your cloud or in a dedicated environment: GCP, AWS or Azure.

  • Roles and SSO

    Role-based access and SSO integration, for example with Okta.

  • Regulated industries

    In regulated industries, we map the architecture to your requirements, such as HIPAA, SOC 2 or DORA.

  • AI Act

    AI Act: documentation, audit logs and human oversight of decisions are built into the architecture.

Industries where we implement AI

Startup House in numbers

We're a 50-person team of experts working remotely, headquartered in Warsaw. We build technology that gives our clients a competitive edge.

10 years

of experience

in the market since 2016

100+

products delivered

web, mobile and AI implementations

50

experts

Product & UX Designers, Engineers, AI Specialists

75

client NPS

valued for communication, delivery speed and quality

5

continents

we've delivered projects for companies in Europe, the Americas, Asia and Africa

Technology partners:

Anthropic
Google Cloud Partner
Microsoft Azure
ElevenLabs
OpenAI
Okta

SH is our trusted technology partner, and we've been working together since 2016.

Piotr StępieńHead of Technology at Siemens Financial Services

Frequently asked questions

Startup House, a Warsaw software house founded in 2016, implements AI for mid-size and large companies in Poland, Europe and the US. It builds AI agents, AI assistants, RAG knowledge bases and integrations of language models with existing systems. Its 50-person team has delivered more than 100 products for clients on 5 continents, including Siemens Financial Services, Toyota and PwC.

Yes. Startup House adds an AI layer to existing systems through APIs, without replacing them. Agents and assistants use data from ERP, CRM and legacy systems while respecting user permissions. AI Demand Planner integrates with SAP and Comarch ERP, and AI Interface Layer runs on an existing platform without rebuilding its core. One example: modernizing Omnipack's system cut development costs by 40%.

Implementation runs in four steps: discovery workshops (processes, data, architecture), a pilot on a data sample with a pilot group, a production rollout with integrations and evaluations, and then maintenance and development, with the agents monitored under AgentOps. For ready-made products such as KnowHub, integration takes about 2 weeks.

Startup House works in line with ISO 27001. Solutions run in the client's cloud or in a dedicated environment on GCP, AWS or Azure, with role-based access, SSO integration and audit logs. Client data is not used to train public AI models. In regulated industries, we map the architecture to the client's requirements, such as HIPAA, SOC 2 or DORA.

Yes. Startup House designs AI solutions with documentation, audit logs and human oversight of decisions, which are the elements the AI Act requires from companies deploying AI. During discovery, we check which obligations apply to the specific solution. Compliance Copilot also supports compliance with DORA, GDPR, NIS2 and ISO/IEC 27001.

A US cybersecurity platform serving Fortune 500 clients cut onboarding time by 95%, saw its users move from quarterly to daily use of the tool, and grew revenue by 150% in the first year. Siemens Financial Services issues automated leasing decisions 24/7. Omnipack cut its system development costs by 40%, and Rainbow Tours collected 20,000 sign-ups in 2 weeks.

Startup House offers five models: a project from discovery workshops to deployment, a ready-made AI product (KnowHub, AI Demand Planner, SmartSearch), an AI Pod, a dedicated team, or team augmentation, where Startup House engineers strengthen your own IT department. The team works in Polish and English, from Warsaw.

Startup House is a 50-person team that builds and maintains solutions with its own engineers, develops its own AI products and works with Anthropic, OpenAI, Google Cloud and Microsoft Azure. For a company that needs a single implementation or product rather than a multi-year digital transformation program, it's an alternative to a large integrator: a shorter decision path and the same team from discovery to maintenance.

In team augmentation, Startup House adds engineers to your team: they work within your process, and your IT department owns scope and priorities. In a discovery-led project, Startup House is responsible for the whole cycle: architecture, implementation, integrations and maintenance. In the AI Pod model, a small team with AI experience delivers specific features toward an agreed goal. We choose the model during the discovery workshops, based on the skills your team already has.

Check how ready your company is for AI

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