Value for yourentire data team.

The safe agentic data platform for data engineering, science, and analytics teams.

Backed byY CombinatorPareto Holdings

Ranked first on DataAgentBench.

The benchmark for data agents. Here’s how the field compares.

DataAgentBench Pass@1 scores
PromptQL60.00%
Claude Code w/ Fable 568.49%
Altimate Code71.71%
Spacedock (Recce)74.33%
SCRIBE (Actioneer)81.85%
Alkera83.28%
Pass@1 (n=5), select from the DataAgentBench leaderboard as of July 16, 2026. Claude Code result from our internal testing.

Works with your existing stack. Integrate within minutes with connectors tailored for agents. Learn more

  • Snowflake
  • Databricks
  • BigQuery
  • Redshift
  • ClickHouse
  • DuckDB
  • PostgreSQL
  • MySQL / MariaDB
  • SQL Server
  • SQLite
  • Oracle
  • Trino
  • dbt
  • Airflow

Data Engineering

Most of the week goes to maintaining legacy pipelines, triaging broken ones, and reconciling knowledge scattered across tools and teams.

  • Know exactly how every column flows from warehouse to dashboard, so migrations replicate dependencies exactly and no change ships with unknown downstream impact.

  • Correctness and data quality issues are triaged and fixed before they reach a report, cutting maintenance time for data engineers by over 70%.

  • Your tables and columns carry their own documentation, kept current by humans and agents alike, inside the docs you already use.

  • New pipelines ship in hours on the tools you already run, built to your conventions instead of as one-off scripts.

† Based on internal testing and early deployments.

Data Science

More time fighting infrastructure than doing science: hunting for GPUs, babysitting long jobs, rewriting throwaway notebooks.

  • Trend breaks and distribution shifts surface on their own, each with the query that found it, so investigation starts one click later.

  • Each cell runs on the compute it needs, CPU, GPU, or high memory, local or remote, provisioned and streamed back by the agent.

  • Humans and agents work in the same Jupyter-compatible notebook, with any cell runnable on remote compute.

Data Analytics

Weeks waiting on engineering for one new pipeline. Alkera unblocks analysts inside Hex, Tableau, and the BI tools they already use.

  • Every report answers with the definition its team means: Finance gets recognized revenue, Sales gets booked revenue, both from your data code.

  • Analysts get production pipelines built to engineering’s standards in hours, ephemeral for a one-off question or persistent when it should live on, so nothing piles up on engineering.

  • Accurate answers inside the BI tools you already use, before a definition is codified, because the agent traces data from raw source to dashboard.

Enterprise-level safety on your terms.

Guardrails on every action, in your environment and controls.

Generic agentAlkera
  • Weak data permissionsSQL-aware permissions
  • No cost visibilityCost estimates and ledger
  • Fragile data plumbingNative, schema-aware connectors
  • Runs destructive changes freelyDestructive work waits for approval
  • No audit trailFull audit log of every action

In your environment

Your VPC or on-prem. Nothing leaves your boundary.

Custom integrations

Agent-native connectors to your data. We build what's missing.

Security

Zero Data Retention on eligible plans, encrypted in transit.

Enterprise controls

SSO with SAML, SCIM, audit logs, and SLAs on request.

We’re engaged and pending SOC 2 Type II, ISO 27001, GDPR, and HIPAA. Learn more at trust.alkera.ai.

Don’t see the integration that you need? We’d love to learn more about your use cases and support them.