The future of autonomous decision-making and intelligent systems is here.

Our agents learn, adapt, and grow with your business.

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Introducing: Bladerunner


Multi-agent system engineered for autonomous learning on Microsoft Fabric.

  • Focus on your Business. Bladerunner will watch your data

    Bladerunner deep dives into your data, surfacing patterns, trends, and insights that turbocharge your strategic decisions.

  • Optimize Costs

    Bladerunner agents can modernize legacy technologies, increasing productivity by up to 40%.

  • Competitive Edge

    Bladerunner can assist in research and development by analyzing market trends, customer feedback, and competitive intelligence by as much as 6X faster.

Bladerunner agents can swarm anywhere

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Autonomous migration

Bladerunner can assess and prepare a cost-benefit-analysis for migrating multiple sources to Microsoft Fabric.

In autonomous mode, Bladerunner

  • deploys the necessary Fabric infrastructure using bicep,

  • converts code from Source to PySpark / SparkSQL,

  • Executes the migration of data

  • autogenerates qualitative and quantitative tests against source and migrated data in OneLake.

Flow chart illustration of data integration using various platforms like Oracle, Salesforce, SAP HANA, Excel, and others into Microsoft applications, leading to OneLake and Power BI for analysis and visualization.

Get Complex Insights , faster

Bladerunner lets anyone in the your organisation with the right access interact with structured or unstructured data in plain English.

The agent understands and responds to you in an interface of your choice - speech, conversational interface, text based interface, Microsoft Copilot, Power BI or even VS Code.

The answers are returned with the chain of thought, lineage and code.

Variance to Budget report with figures showing Loyalty segment at $5.99M and Non-Loyalty segment at $47.09M. Total Revenue Variance: $53.08M, Total Expense Variance: $858.47K.

Autonomously generate code optimisations

Bladerunner can autonomously analyse existing ELT/ETL code in GitHub or DevOps against your data and suggest optimisations and enhancements.

Bladerunner can generate code in SQL, PySpark, Python, DAX and M Query.

Bladerunner in autonomous mode can go further and rework your code, check in code optimisations, build and deploy to a specified environment without any manual intervention.

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Generate lineage and code explanations

Bladerunner builds on-demand interactive visual lineage for your data from source to the metric in the report.

Interactively visualise your query with explanations for any column.

Image showing a split screen with Snowflake SQL code and a data flow diagram. The left side contains SQL queries for creating views and inserting data into tables. The right side displays a diagram with various database tables, showing relationships between fields like contractor names, work numbers, and postal codes.

Ready to start transforming your business?

Sign up for a free demo