For Machine Reasoning at Scale
KeewanoDB routes every question through the complete event sequence, giving agents full context so teams can ask anything, anytime, without waiting for another pipeline.
Snapshots Lose the Plot
Traditional databases are built around current state, rows, and predefined views.
Ask what happened over time and your team inherits a reconstruction project before the database can answer.
KeewanoDB keeps the whole story, giving agents full context from the first event forward.
The Complete Event Sequence Engineered for Agents
Built For Event Scale
Built for massive event workloads and machine-scale query volume, KeewanoDB stores each entity’s events together and in order, ready to query.
Query Time Is for Querying
The sequence is already there when the question arrives.
KeewanoDB reads it directly, cutting latency and cost while keeping answers grounded in the full record. Because the sequence is stored contiguously and in order, KeewanoDB can scan multiple events in one CPU instruction.
The Full Record Changes What You Can Ask
Agents can reason through how events unfolded, compare similar sequences, and identify patterns behind outcomes across the full record.
Reason Across the Complete Sequence
Agents can reason through how events unfolded, compare similar sequences, and identify patterns behind outcomes across the full record.
Agents Reason
Over Your Data
Give agents the ordered record behind every customer, account, transaction, device, or system.
Teams Build Analytics
at Scale
Create reports, comparisons, and ongoing checks across live events without schema modeling or ETL.
People Find Out
What Actually Happened
Ask open-ended questions across the complete record and trace each answer back to the sequence.
Ask New Questions Without Laying More Track
KeewanoDB keeps the complete sequence ready for open-ended reasoning. New questions stay queries instead of turning into data projects.
How It Works
KeewanoDB Takes Raw Events Straight to Agent-Ready Context. Runs alongside your existing stack, which can stay exactly where it is.
Every Event Stays Intact
Each event remains tied to the entity that produced it.
The Sequence Stays Together
Events stay organized around entities, time, and outcomes, in the order they happened.
Shared Meaning Sits on Top
A semantic layer maps raw event names and fields to shared concepts and definitions.
Reasoning Runs Beside the Record
Reports and sequence comparison run close to the data. Custom logic can run there too.
The Answer Comes Through Standard Interfaces
Agents, apps, and dashboards connect through MCP, SQL, REST, and APIs. Every answer stays grounded in the events behind it.
Ingest raw events from
your existing stack
KeewanoDB
one database • your raw events, agent-ready
Keep every event intact.
Complete record. No sampling. No reduction.
Tie events to entities, timelines, and outcomes. Build the full story around each event.
Map raw events to concepts, patterns, and definitions. Meaning that agents can query, not just fields.
Run reports, similarity, and custom logic in-database. SIMD & GPU acceleration for low latency at scale.
Return answers through the tools you already use. MCP, SQL, REST, APIs, and analytics tools.
Grounded context delivered
through the interfaces
you already use
Fewer Detours Between Question and Answer
From One Machine to Trillions of Events
Run locally, scale in the cloud, or explore the complete event record with Keewano Analytics.
KeewanoDB Cloud
Scale KeewanoDB Without
Managing the Infrastructure
Keewano manages deployment, replication, and monitoring for production-scale workloads.
Best for: Teams running high-volume event workloads and production AI systems.
Keewano Analytics
Anyone Can Ask Any Question Across the Complete Event Record
Create reports, comparisons, and ongoing checks.
Best for: Product, analytics, operations, engineering, and AI teams.
Build on KeewanoDB
Ask new questions, compare patterns across millions of entities, and give AI grounded context from what actually happened.