A swarm of agents, running at a client today

Your technology partner for AI agents built around your work

Cresteo builds software. Our AI Agentic Studio builds AI agents into the systems your business already runs on.

Agents work with your data and in your infrastructure. Your team stays in control, and you own what we build. Each engagement starts with one workflow step and works toward a first measurable result in eight weeks.

Our technology partners

Amazon Web Services (AWS) logo
Microsoft Azure logo
Google Cloud logo
Databricks logo
OpenAI Select Partner
Anthropic logo

Why AI initiatives stall

Most AI initiatives stall between the pilot and the work they were meant to change. Four problems come up again and again. The AI Agentic Studio addresses each one directly.

Pilots that never ship

A proof of concept shows the idea works. A working system also needs integration, controls and ownership.

Our answer

We build for production from the first step, with integration, controls and ownership in scope.

Rented intelligence

Your team uses the capability, but the technology stays with the vendor.

Our answer

Agents run in your infrastructure, and you own what we build.

Tools that cannot reach your systems

Off-the-shelf AI rarely reaches the data and systems your business already uses.

Our answer

Agents connect to your ERP, CRM, databases and APIs.

Results that arrive too late

Long programs make it harder to show value early.

Our answer

Each engagement works toward a first measurable result in eight weeks.

What the AI Agentic Studio is

The AI Agentic Studio is Cresteo's capability for building custom AI agents around real business workflows.

Our senior engineers and architects combine software engineering, AI and data with the Cresteo Agentic Framework to design, build, deploy and hand over working systems.

What we build

GenAI and LLM applications

Applications built around your data and business rules.

Intelligent process automation

Automate repetitive work while keeping people in control of decisions.

Software delivery lifecycle

Requirements, development, testing, deployment and support.

Custom software

Full-stack product engineering for web, mobile and cloud.

Quality engineering

Test strategy and automation built into the development process.

Data and AI products

The data systems that support your agents and applications.

What can an AI agent actually take over?

AI agents can handle the repetitive steps inside a workflow: the reading, gathering, checking and preparing that comes before a person decides. At Cresteo, AI agent development starts from one of those steps.

What agents can handle

  • Reading and classifying incoming documents and requests

  • Gathering information from several systems into one file

  • Checking records against rules and flagging exceptions

  • Drafting first versions of reports, notes and tickets

  • Routing work to the right person

What stays with your people

  • Consequential financial approvals

  • Clinical judgments

  • Legal positions

  • Final sign-off on anything an agent prepares

Case studies: agents built on the Cresteo Agentic Framework

// Fintech

AML Investigation Officer

Spots suspicious patterns, gathers evidence across data sources, writes the investigation narrative and drafts the Suspicious Activity Report.

Every report goes to your analyst, and the decision stays with a person.

See the case study

// Legal & Justice

Police Report Processor

Takes reports in any format, organizes the key details, classifies each report, asks for what is missing and routes the complete case to the right unit.

Every intake keeps a full audit trail.

See the case study

// Healthcare

Clinic Analysis Reviewer

Reads lab results against the patient's history and reference ranges, flags out-of-range values and writes structured notes aligned to your protocols.

The physician's review and sign-off is always the final word.

See the case study

We start from proven: the Cresteo Agentic Framework

The Cresteo Agentic Framework is Cresteo's own framework for building and running AI agents.

  • Built into your existing stack

  • Traceable and auditable

  • Modular and expandable

The framework is delivered to your organization, so your team can manage and evolve it. It works across models and cloud environments, based on your requirements.

Inside the Cresteo Agentic Framework

Cresteo SDK

The core, with security and monitoring built in.

Multi-model support

Works across any model.

Multi-agent orchestration

Agents working as a team.

Memory and multi-turn

Context across conversations.

RAG

Retrieval grounded in your knowledge.

Caching

Performance and cost efficiency.

Define · Ground · Evaluate · Monitor

How an agent gets governed

Four stages keep the agent controlled, with people deciding at defined points. This is how human-in-the-loop works in practice.

01

Define

Set the agent's role, behavior and limits.

02

Ground

Give the agent your business context before it acts.

03

Evaluate

Test the agent before it takes on real work.

04

Monitor

Track performance and drift, with human review of flagged behavior.

Person reviewing an agent's work on a tablet with a stylus

How an AI agent development engagement runs

Four stages, from architecture to IP ownership.

/ 01

Architecture design

Map the workflow, identify the opportunity and design how the agent connects to your ERP, CRM, databases and APIs.

Output

Architecture blueprint and first-workflow roadmap

/ 02

Build and customization

Build the agent's logic, integrations and capabilities.

Output

Working solution in your environment

/ 03

Integration and deployment

Deploy within your security requirements.

Output

Running system in your infrastructure

/ 04

IP ownership

Source code, agent logic and integrations are transferred to your team. Your intellectual property is yours from day one.

Output

Full IP ownership

Team reviewing project work together on phones and tablets

AI agents across the software development lifecycle

Ten+ agents support the software delivery lifecycle alongside a development team. They handle requirements, code review, testing and production monitoring.

Four human roles hold the decisions:

Business Owner

Defines needs and validates releases.

Tech Validator

Reviews and approves pull requests.

QA Validator

Reviews testing and acceptance.

Process Manager

Prioritizes and plans the work.

The use case shows how agents and people share the work, and where human approval happens.

+

Your infrastructure. Your ownership. We stay.

It runs in your infrastructure

Your cloud or on-premise, using your credentials and within your security and data requirements.

Everything we build is yours

You own the software and intellectual property we build for you.

We stay

We monitor, maintain and evolve the system as your operation changes.

Your first agent starts with one conversation

We'll look at the workflow with you and outline what a first measurable result in eight weeks could involve.