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The engine built for the agentic era

Agents demand concurrency, freshness, and cost control at once. Run retrieval and analytics for AI directly on your open tables, at 10x performance for half the cost.

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AI AGENTSE6DATA ENGINEp95 < 2sAGENT+1 vCPU AS CONCURRENCY CLIMBSANSBUILT FOR THE CONCURRENCY AGENTS DEMAND

Built for how agents actually query

1,000+QPS at p95 < 2s
~15sstreaming queryable
up to 50%lower compute cost

Concurrency without the bill

Agentic workloads fan out into thousands of small, concurrent queries. Legacy engines meet that with over-provisioned clusters and a bill that scales with the peak.

e6data scales in 1-vCPU increments, so you pay for the compute a query needs and nothing around it. Full-grain data, no down-sampling, no coordinator single point of failure.

HOW IT ANSWERS

How e6data answers agentic load

  1. 01
    Built for concurrency

    Serve the query volume agents generate, not just the dashboards humans click.

  2. 02
    Scales by the vCPU

    Add capacity as concurrency climbs, and shrink it back when it falls.

  3. 03
    On your open tables

    Agents query the data you already govern, with no copy and no lock-in.

OUTCOMES

The outcomes for AI teams

p95 < 2sunder agent loadLatency holds flat as agent traffic climbs, so answers stay fast enough to act on.
1,000+QPS sustainedThe engine serves the concurrency a fleet of agents generates.
1 vCPUscaling incrementYou pay only for the concurrency actually in use, moment to moment.

Point it at your agent workloads

Reach out to book a demo, share challenges you're facing, and tell us how this fits into what you're currently working on or thinking about.

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See your numbers on your workloads.

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Problems we’re solving

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