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Agentic Data Management

Reimagine how multi-agent strategies can solve complex enterprise data challenges around engineering, quality, and governance.

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The Value We Bring

Today’s digital-borne businesses want data contextualization across their value chain. Agentic Data Management is Brillio’s market-differentiating approach to data management. Multi-agent AI technologies solve complex data problems across data engineering, data quality and governance, data insights, and data operations. Within these, multiple AI agents work together to turn data chaos into AI-ready power. Our key solutions cover zero-defect data operations, agentic data quality, data and ETL migration agents, and structured and unstructured insights agents.

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01

We carve new market segments in AI-driven data management
DATA VALUE CHAIN

02

We create solutions for rapid platform replication
PLATFORM AGNOSTIC

03

We offer a combo of agents for multiple challenges
AGENT TASK FORCE

WHAT SETS US APART

Fueling Success: Our Powerhouse Capabilities

Agentic Data Operations

Zero-defect operations using AI agents, reinforced with incident-handling agents on standby.

Agentic Data Quality

Data quality onboarding checks to help data stewards build, track, and enhance data quality with AI-driven automation.

Agentic Data Insights

AI-powered financial and legal insights that transform data into proactive intelligence.

Agentic Data Engineering

Intelligent AI agents that automate architecture design and code development with greater efficiency.

Agentic Customer Support

Enhanced decision-making with multi-agent support that unites the best qualities of AI and human agents.

Agentic Data for Sales

Optimized sales processes with AI agents to infuse sales strategies that unlock hidden revenue.

Unlocking Value: Discover Your Benefits

Accelerated

Time to value realization from data

Improved

Time to insight and decision-making

Optimized

Cost and performance

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Synergy in Action: Our Ecosystem of Trusted Partners

Forward-Looking Thoughts and Compelling Stories

We would love to hear from you

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