Agentic Data Development

Your BI team writes the requirement. Agents write the code.

BigHub's agentic development platform takes a detailed business specification, combines it with your platform documentation and architecture, and generates production-ready data code autonomously. Developers step in only to review the pull request.

Book a discovery callHow it works
Trusted by the world's leading companies
Pain points

Why data development doesn't scale

Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Sed vel lectus. Donec odio tempus molestie, porttitor ut, iaculis quis, sem.

Developers are the bottleneck
BI analysts know what they need, but every request waits in a dev queue. Engineers spend most of their time translating requirements into SQL — work that's structured, repetitive, and ripe for automation.
Context gets lost in handoffs
Requirement → ticket → spec → code. By the time it's built, key nuances are lost. The final output often doesn't match original intent, triggering rework cycles.
Copilots help, but don't own the task
Tools like Claude Code accelerate individual developers, but they still require constant human steering. The developer remains responsible for the full workflow.
Platform knowledge is tribal
Naming conventions, transformation patterns, platform quirks — rarely documented. Long ramp-up for every new developer, risk with every departure.
How it works

How agentic data development works

From business requirement to deployable pull request — with the developer entering the flow only at the review stage.

Business requirement

A BI analyst or business user submits a detailed, structured specification — what data is needed, from which sources, with what logic and granularity.

Context assembly

The orchestrator pulls in your platform documentation, data catalog, naming conventions, existing models, and architectural patterns — assembling full context for code generation.

Autonomous code generation

The agentic platform generates the code: SQL scripts, dbt models, pipeline definitions, tests, and documentation. This step runs entirely autonomously — no developer in the loop.

Pull request + developer review

Generated code is packaged as a PR. A data engineer reviews it alongside the original spec, gives feedback or makes adjustments. The agent incorporates feedback automatically.

Merge & deploy

Approved code merges and automatically propagates into the target environment — CI/CD, orchestration, monitoring included.

What gets migrated

What changes for your team

Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Sed vel lectus. Donec odio tempus molestie, porttitor ut, iaculis quis, sem.

80%+ runs without a developer

From requirement to PR, the process is autonomous. Developers focus on review and architecture.

Business gets results faster

A well-defined requirement can produce a reviewable PR within hours, not sprints.

Knowledge is encoded, not tribal

The system ingests your documentation, conventions, and patterns. Standards are applied automatically.

Full traceability: requirement → code

Every generated artifact is linked to its source requirement.

Developer time shifts to high-value work

Less time on routine SQL, more on architecture, optimization, and complex problems.

Works with your existing stack

Databricks, Snowflake, dbt, Airflow, Azure, GCP — the platform adapts to your environment.

Traditional vs. agentic development

BigHub-founders-story-Karel-Simanek-Tomas-Hubinek
Differentiators

What sets this apart

Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Sed vel lectus. Donec odio tempus molestie, porttitor ut, iaculis quis, sem.

Autonomous, not assisted
Not a copilot. The agent system runs the full migration cycle — discovery, translation, validation — with minimal human intervention.
Built-in validation loop
When the validation agent detects inconsistencies, it autonomously adjusts the migrated solution and re-validates until the target matches the source.
Full lineage & traceability
Every migrated object is linked to its source equivalent. Complete audit trail — critical for compliance and governance.
Proven in enterprise
BigHub designs and deploys the agent system tailored to your specific source-target combination, data volumes, and operational constraints.
How do we work

Implementation

Our approach ensures a smooth and measurable path from idea to production. Each phase is structured to validate impact, minimize risks, and accelerate value delivery.

Proof of Concept plan

We start by identifying a clear business case and defining success metrics. Together, we validate technical feasibility and measurable ROI through a small-scale prototype tailored to your data and systems.

Pilot

Once the concept is proven, we expand the solution into a controlled production environment. The focus is on performance, user adoption, and integration with existing workflows — ensuring it delivers real business outcomes.

Production

After successful validation, we deploy the full production-ready version. Our team ensures scalability, monitoring, and continuous optimization so your AI solution keeps driving measurable results over time.

Book a discovery call
Case studies

Real strategies. Real results.

See how organisations turn AI strategy into measurable outcomes. Real projects, real impact, delivered in real enterprise environments.

Explore more success stories
ČEZ, a. s.
Energy

How ČEZ uses AI to optimize operations: Powering energy innovation

ČEZ ICT Services, part of the ČEZ Group, set out to expand the use of data analytics and artificial intelligence across its technological processes. In collaboration with BigHub, several projects were delivered demonstrating how AI and modern data infrastructure can improve operational efficiency, reduce costs, and optimize the management of critical energy assets, from heating plants to nuclear power facilities.
View more
Kooperativa pojišťovna
Insurance

AI assistant PROKOOP, Kooperativa’s sales team cuts down
 on admin and focuses more on clients

Kooperativa, a major player in Central Europe’s insurance market and part of the Vienna Insurance Group, needed a way to reduce administrative strain on its sales and operations teams. Its employees were losing valuable time searching for internal information, answering routine inquiries, and handling repetitive requests. That all changed with the introduction of PROKOOP, a custom AI assistant designed by BigHub and built securely on Azure.
View more
Direct Pojistovna
Insurance

AI agent system cuts document processing from 15 to 2 mins at Direct Pojistovna

Direct Pojistovna, a fast-growing Czech insurer, wanted to radically accelerate and simplify claims settlement. The company faced a flood of client documents in multiple formats, from handwritten claims and invoices to photos of damage. Processing these manually was time-consuming and required specialist knowledge. To solve this, Direct Pojistovna partnered with BigHub to build an advanced agent-based system for pilot project of windshields insurance that automates document handling, evaluates claims, and enables instant payouts in straightforward cases.
View more
HP Tronic Zlin, a.s. (Datart)
Retail

Datart launched an AI assistant that boosts conversions and customer satisfaction

Datart wanted to make it easier for customers to purchase more complex products, specifically TVs, where decision-making is often complicated. In cooperation with BigHub, the company created an AI assistant that acts like an experienced salesperson – it actively asks questions, recommends suitable models, and clearly explains the differences. The result is higher conversion, more satisfied customers, and a foundation for scaling to other product categories.
View more
AURES Holdings
Retail

How AI search helped AAA Auto boost engagement by 5% and simplify mobile navigation

AURES Holdings, one of the largest used car retailers in Central and Eastern Europe and operator of AAA Auto, needed to improve its mobile customer journey. Browsing thousands of cars across multiple parameters was a major pain point — especially for mobile users. To fix that, AURES teamed up with BigHub to deploy a lightning-fast AI search assistant powered by Microsoft Azure OpenAI.
View more
Fortuna Entertainment Group
Betting

AI solution that saves Fortuna 94% in costs and thousands of hours of work

Fortuna, a leading European betting operator, looked for ways to streamline employees’ workloads. What it lacked was a unified platform for automating routine tasks. The company therefore chose a secure, high-performance and cost-efficient answer from BigHub: an AI assistant.
View more
PLANEO Elektro
Retail

How the AI assistant DIEGO accelerated operations at 100+ PLANEO stores

Slow information retrieval, lengthy onboarding, and overwhelmed customer service lines. PLANEO Elektro, a leading consumer electronics retailer in the Czech Republic, tackled these challenges across dozens of its stores with the help of DIEGO, an AI assistant developed by BigHub.
View more
NN Zivotni pojistovna
Insurance

From 3 days to 30 minutes: How NN pojistovna accelerated claim processing

NN Insurance, a leading provider of life and accident insurance, sought to streamline and accelerate the evaluation of medical reports — a critical step in determining claim payouts. The manual process was slow, error-prone, and consumed valuable time from specialists. In collaboration with BigHub, NN deployed AI Diagnosis Mapper, an intelligent component that automates the reading, classification, and evaluation of medical reports while ensuring accuracy, transparency, and data integrity.
View more
Česká podnikatelská pojišťovna
Insurance

AI-powered VR solution makes ČPP presentation skill development 3x faster

ČPP, a major insurance provider and part of the Vienna Insurance Group, needed a more efficient way to help its employees develop presentation skills. Traditional training lacked real-time feedback and failed to provide measurable progress. In collaboration with BigHub and YORD, ČPP introduced an AI-powered VR platform that delivers personalized analytics, immersive training, and rapid improvements in performance.
View more

Ready to move off your legacy platform?

Want to discuss the details with us? Fill out the short form below. We’ll get in touch shortly to schedule your free, no-obligation consultation.

Trusted by 100 + businesses
Thank you! Your submission has been received.
Oops! Something went wrong.