Any AI model.
Control stays with your organization.

APE is the control layer between your organization and every model you choose to use - running inside your infrastructure and grounding every answer in your verified sources.

Why companies hesitate to deploy GenAI

The answers are not always reliable

Generative AI can sound confident - even when it’s wrong. One incorrect statement to a client can cost the deal and damage trust.

You lose track of your data

The moment a prompt leaves your environment, you no longer know where the information goes, who can access it, or which governance rules apply.

Vendor lock-in kills flexibility

Commit to one provider today and you’re stuck - even when better, cheaper models arrive next month. Scaling becomes a rebuild, not a rollout.

APE was built to prevent these issues before they become incidents.

What APE actually is

1 connection to run · 1 contract 4 connections · 4 contracts · 4× the upkeep

Control layer, not another tool

APE sits between your organization and every AI model you choose to use. Your people work in one governed environment - without juggling multiple providers, setups, or policies.

Governed and fully traceable

Every interaction is logged and auditable. Responses are grounded in your verified collections, with source evidence attached - so accountability stays with your organization.

Your data stays under your control

Data, access rights, and audit trails remain in your infrastructure (on‑prem or private cloud). Swap or add models without changing your environment or losing control.

From your data to working AI

APE isn't one chatbot you rent. It's where your team builds its own secure AI, on your data, in three shapes.

Collections

One secure workspace per project or team. Your documents, prompts and tools live together, isolated, access-controlled, yours.

Mini-apps

Small AI tools for real jobs, translate a contract, summarize a case file, screen a CV, draft a report. Built once, used by everyone, nothing new to learn.

Chatbots on your data

Grounded assistants on a collection, internal expert helpers or public ones, answering only from your own sources.

Built for real work across teams - Marketing, Legal, HR, IT, Finance, Customer Support, and beyond - while keeping control fixed and the AI flexible.

How APE prevents AI hallucinations

  1. 1

    Verified enterprise context first

    Before generating an answer, APE matches your questions against trusted collections and sources. Your documents, databases and files stay the source of truth.

    APE reads your own documents first, grounding the AI answer in your files
  2. 2

    Answers built from your evidence

    Only the information required to respond is exposed to the model. Outputs are structured and include traceable links to source documents - so results can be checked, not just trusted.

    APE distills your documents into a short, grounded answer that cites its source
  3. 3

    Consistent answers with full accountability

    The same question within the same governed context leads to consistent results - without confident nonsense. Every interaction is recorded, so decisions are auditable long after the conversation ends.

    APE gives the same consistent, grounded answer to the same question every time

Before APE

  • Answers grounded in whatever the model “knows”
  • Sources are hard to verify (or missing)
  • Confident answers you can’t reconstruct

With APE

  • Grounded answers from governed collections
  • Source documents attached for verification
  • Every run is logged with source data and results

See who used what

Every interaction is logged - who requested it, which model was used, which collection it ran on, and when. APE delivers full communication auditing and usage tracking across people, teams, projects, and models, so nothing is off the record and compliance always has the trail

  • No hidden AI licenses you can’t see
  • Usage by user, team, project and model
  • Full audit trail, screened to your policy

Your rules, enforced automatically

Like airport security for enterprise GenAI: data stays organized, access stays deliberate, and every interaction is governed centrally - before answers are generated.

Who uses what

Admins decide who may use which models, finance gets one set, the call center another.

Hard budgets

Token budgets and limits per team, so spend simply can't run away.

Guardrails

Sensitive requests are stopped before they ever reach a model. Control your board can actually read.

Your data stays yours

APE is designed to keep enterprise control intact - so your data, access, and accountability stay under your responsibility. APE runs in your own environment (on‑premise or private cloud), using governed entry points for enterprise documents and applications. Responses are grounded in verified collections, not in whatever a model might have learned elsewhere.

  • Runs on-premise or in your private cloud
  • Isolated, access-controlled data zones
  • Sent only to no-training model endpoints
  • TLS 1.2 / 1.3
  • OAuth2 · SSO · LDAP
  • Encrypted storage
  • Zonal access control
  • Structured outputs
  • Full audit

Built for Europe, under European law

EU-owned

APE is built and run by a Czech company, your partner sits in the EU, not an ocean away.

In your environment

Deploys on-premise or in your private cloud, your data stays under your roof and your jurisdiction.

Built to help with the AI Act

Audit trail, model-access rules and budgets help you prepare for the direction of the EU AI Act.

EU-supported

Real humans, in your language. A partner, not a Python proxy your engineers babysit at 2am.

Straight talk: APE runs in your own environment, under your control, and we help you meet your GDPR obligations. We don't sell magic words like "guaranteed compliant." You stay the data controller; APE gives you the isolation, the access control and the audit trail to do it properly, and it's built and supported in the EU.

Real numbers, not adjectives

0%

cheaper SAP data migration

A sports-equipment retailer cut an SAP data migration from a projected ~1M CZK to about 100k CZK with APE. One hard number beats any buzzword.

Retail · real customer

Safer testing without touching production data

Generate realistic synthetic datasets for healthcare so teams can test interoperability and workflows without exposing patient records.

Healthcare · synthetic data

Faster document review with grounded answers

Run tender & RFP analysis over hundreds of pages and generate executive summaries in minutes - while each answer is returned with the supporting source documents.

Legal Ops · tender & RFP

Try it. Ask APE anything.

Type a question and watch APE answer: it reads first, answers short, and cites the source. The whole product in miniature.

The humans behind APE

Lenka G. Komárek
Lenka G. KomárekImplementation lead

Gets you live without drama.

Filip Ambrož
Filip AmbrožChief designer

The reason this doesn't look or sound like generic AI.

APE mascot
APEChief of routine

A worker who loves routine and dislikes bananas.

Real Czech and EU support, actual humans, in your language.

The questions everyone asks

How do I know it won't just make things up?

It answers only from your own files and shows the source for every answer. If it isn't in your files, it doesn't invent it.

Where does my data actually go?

Inside your own dedicated EU environment. Prompts go only to no-training endpoints, so your data isn't used to train the global providers' models, and we can show you exactly which model touched what.

Won't this lock me into one provider?

The opposite. Plug into APE once and use any model. When a better or cheaper one appears, you switch in a click. No rip-and-replace.

Is it going to cost a fortune to run?

You finally see and control the cost. Spend is visible per team and capped by hard budgets, one retailer cut a migration from ~1M to ~100k CZK.

How is this different from just using ChatGPT?

ChatGPT can't see your files, your spend or your rules. APE connects every model, grounds answers in your documents, tracks every token and keeps the data in the EU.

My compliance team will have questions.

Good. APE is built for them: full audit trail, model-access rules, budgets, guardrails and EU hosting. It helps you support GDPR accountability and prepare for the EU AI Act, in plain language.

Can I use AI while keeping personal data protected and GDPR-compliant?

Yes - that's the point of APE. It runs in your own EU environment, on-premise or in your private cloud, your data never leaves it, prompts go only to no-training endpoints, and every request is logged. You stay the data controller; APE gives you the isolation, access control and audit trail to meet your GDPR obligations and prepare for the EU AI Act.

See your AI spend in 5 minutes

One short demo: before and after. No brochure, no commitment. Scan the code or book a slot, we answer fast, because being first with the right answer is kind of our thing.

QR code, book an APE demo Scan to book a 5-minute demoor email info@physter.com