Robotics engineering backoffice

Start building your robotic product on day one. KineticBase handles the engineering backoffice.

Data infrastructure, MLOps, DevOps and data governance for robotics teams, in one platform that runs in your own cloud or data center, so your fleet data never leaves it.

See the platform

The problem

Every robotics startup builds the same engineering backoffice before it can build its robotic product.

Whatever the robotic product (a robotaxi, a truck, a drone, a humanoid or a service robot), it generates huge volumes of sensor recordings that need to be ingested, replayed, searched and eventually deleted.

No early team staffs data infrastructure, MLOps, DevOps and data governance separately. Instead one or two engineers get pulled off the robotic product itself to build partial versions of all four. KineticBase is that engineering backoffice, already built.

The platform

From raw robotic logs to training-ready datasets, in one system.

Ingestion

LiDAR, camera, radar, IMU, GPS and actuator telemetry into one open format (MCAP), with ROS 2 support. Your offload tooling calls one trigger; queued workers do the rest.

Replay & annotation

Synchronized multi-sensor playback with 3D point clouds, projected boxes, maps and plots. Automatic flags for interventions, hard stops, sensor dropout and low-confidence perception.

Search

Filter by weather, location and object category, find scenes similar to one you're looking at, or just type "a truck at night in the rain."

Dataset Builder

Collect search results into versioned, reproducible datasets with lineage, and pull them straight into training and simulation pipelines.

Auto-annotation

A 3D detector drafts vehicle labels for human review. Reviewed boxes become searchable and flow into datasets, never presented as ground truth.

PII redaction

Faces and license plates are blurred automatically during ingestion, before anything is stored, with a per-scene record of what was redacted.

Fleet Ops

A live map of your fleet: position, status, battery, and route progress with ETA, fed by your robots' MQTT telemetry.

Lakehouse

Scene metadata, embeddings, usage and audit records in Apache Iceberg tables on your own storage, with a starter catalog of vetted metrics.

Data lifecycle

Keep what matters. Let the rest expire.

At fleet scale, keeping every recording forever is one of the biggest lines on the cloud bill. KineticBase keeps only the sensors and seconds each team needs and retires the scenes nobody uses, without anyone reviewing them by hand.

We don't charge for storage.

Your recordings stay in your own cloud bucket, billed by your cloud provider at its own prices, never resold with a markup. KineticBase is licensed by compute, not by data volume, so we have every reason to help you store less.

Partial holds

Hold a whole scene, a few topics, or a selected time slice. Holding part of a scene keeps just that part.

Per-team retention

Triage, Perception, Simulation and ML each set their own policy. Real use extends a hold; a scene is deleted only when no team holds it.

Legal hold

Incident data placed on hold never expires until it is cleared, with a record of who placed and cleared it.

Safe by default

Nothing expires until you choose a period, the Console shows what would go first, and deleted scenes sit in a restorable waste basket.

Full audit trail

Every deletion, hold and admin action is recorded against the signed-in user and exportable.

Deployment

Runs in your cloud and data center. Your data never leaves your environment.

Every customer runs their own dedicated instance inside their own cloud (VPC) or data center. We never host, see or store your operational data, which keeps security reviews short.

Your infrastructure

Signed container images, Docker Compose and Terraform. AWS today, with GCP, Azure and on-premises hosts coming next.

Zero-trust access

Every request is authenticated. People sign in through your own identity provider; pipelines use separate API keys.

Operable without us

Health checks, service controls, alerting, verified backups and one-command upgrades in the admin console.

Commercially clean models

Our detectors are trained only on commercially licensed data, so nothing we ship carries non-commercial terms into your robotic product.

Built for

Teams shipping robotic products, with no time to build infrastructure.

Humanoid robots Service robots Robotaxis Autonomous trucking Autonomous drones

We're onboarding a small group of design partners.

Run KineticBase on data from your own robotic product, shape the roadmap with us, and get hands-on support from the engineers who built it.