Keewano
Event-sequence database for AI agents
CORE INFO
Keewano builds data infrastructure for companies that need AI agents to investigate product, customer, transaction, operational, and gaming behavior. Its database keeps complete, ordered event histories so teams can analyze what happened without rebuilding data through new ETL pipelines or schemas.
- $12 million seed round led by Hetz Ventures, with participation from a16z Speedrun, Remagine Ventures, DIG Ventures, and angel investors, announced September 15, 2026.siliconangle.comcalcalistech.com
- Approximately 250 million events queried in under half a second, according to a company-reported claim that has not been independently verified.siliconangle.comventurebeat.com
- VentureBeat covered KeewanoDB's event-sequence architecture, which gives users and AI agents access to the histories of entities such as users, devices, and agents.venturebeat.com
WHY WE WOULD WORK AT KEEWANO
Build for Machine Reasoning
Help shape KeewanoDB, an event-sequence database designed to give AI agents complete, chronological context for investigating real-world behavior.
Work on Novel Infrastructure
Tackle hard data problems across event ingestion, semantic layers, in-database computation, MCP, SQL, REST, Kafka, and high-volume sequence analysis.
Join at Inflection Point
Keewano launched publicly with a $12 million seed round in September 2026, giving a small team the resources to define a new category.
Shape the Next Chapter
Help expand the product from its gaming-analytics roots into infrastructure for product, operational, customer, transaction, device, and AI-agent data.
Own Meaningful Outcomes
Join an approximately 13-person team where ownership, speed, product focus, customer centricity, and measurable impact are explicit company values.
Make Data More Actionable
Build tools including Keewano Signal, Agent Builder, and Keewano Ask for Slack that turn raw event histories into evidence-based analysis and ongoing operational decisions.
MARKET AND TRACTION
GROWTH TACTICS
✦ KEY METRICNOTABLE CUSTOMERS
KEY METRICS
✦ KEY METRICCOMPETITIVE ADVANTAGE
MARKET POSITION
✦ KEY METRICPRODUCT AND TECH
Event-Sequence Database
KeewanoDB stores complete, chronologically ordered event histories for users, customers, accounts, devices, transactions, and agent runs. This lets AI agents and humans investigate behavior without rebuilding data through new ETL pipelines or schemas.
Agentic Analytics Suite
Keewano Analytics, Keewano Signal, Agent Builder, and Keewano Ask for Slack turn event data into reports, pattern analysis, ongoing investigations, and actionable answers. These tools support hypothesis testing, behavioral analysis, and automated delivery through Slack, email, and webhooks.
Semantic Data Layer
KeewanoDB maps raw events to business concepts and definitions, providing grounded context for machine reasoning. In-database computation, similarity analysis, and sequence comparisons help agents analyze behavior close to the data.
Data Access Integrations
Keewano supports MCP, SQL, REST APIs, webhooks, Kafka, Parquet, and Apache Iceberg, with connections to Snowflake, Google BigQuery, Databricks, Tableau, Looker, and Slack. These interfaces make event histories accessible to AI agents, applications, and existing analytics workflows.
Cloud And Local Deployments
KeewanoDB Cloud provides managed infrastructure with autoscaling, replication, backups, and monitoring, while KeewanoDB Local supports development, evaluation, edge, and smaller production workloads. The platform also references Docker, Kubernetes, SIMD processing, and GPU acceleration.