Do more. In less time. At lower cost.

We optimized the compute layer for the next generation of data and AI workloads. Jobs run faster with less infrastructure. No changes to your existing data lake.

It's as simple as that.

Performance
Up to 25X
faster runtime
Infrastructure
Up to 95%
less hardware
Security
0
crit/high/med CVEs
ROI
>50%
lower TCO within hours
Working Alongside
District AI
GenLogs
US Army xTech
Seekr
US Navy
NATO

The Premise

Cloud bills are growing faster than AI is delivering value.

Enterprises overprovision or move on-prem to meet SLAs. They burn tokens and cloud budgets to keep up with demand. Capital can't fix the problem when the systems fail to cost-rationalize. Efficiency is the only lever to get in control.

01 / Cost

Stop paying for idle compute.

Falcon's scale-to-zero architecture means you use infrastructure when workloads run, not when clusters wait. Fixed-price licensing gives you budget confidence as you scale.

02 / Speed

Pipelines that finish before lunch.

Write, run, and orchestrate container-native pipelines on a compiled Rust engine. Falcon unlocks exquisite performance on commodity hardware — up to 25x faster than Spark on the same workloads.

03 / Fit

Sits on the storage you have.

Keep your existing investments in Delta Lake, Iceberg, object stores, databases... you name it. Falcon is a compute engine that deploys within your current stack — not failed migration to a new data swamp.

The Stack

One compute layer. Every workload from source to consumer.

Falcon runs within your existing data ecosystem. Bring compute workloads over to run on our engine. Your persistence layer, governance, and infrastructure stay as they are.

Falcon Compute Platform / reference architecture v.2026.01
Falcon Compute Platform
RUST · K8S-NATIVE
Falcon Control Plane / User Interface · CLI · APIs
Administration
Job Configuration
Job Monitoring
Orchestration / Helm · CLI · APIs
Job Validation
Scheduling
Resource Management
Batching
Streaming
API Serving
Job Execution
Data Loading
Content Extraction
Transformation
Metrics & Analytics
Machine Learning
Model Serving
Partitioning
Cache Management
Persistence
Substrate · Lakehouse, Catalog & Infrastructure
Delta Lake
Iceberg
Hudi
RDBMS
NoSQL
AAWS
AzAzure
GGCP
μEdge
Yours.  Storage · catalog · infra
Falcon.  The compute layer that swaps in
Hyper-Optimized.  Compiled · Patents pending

The Proof

Same workload. Less infrastructure. Less time.

Every claim we make is anchored to a customer benchmark. Across financial services, defense, healthcare, and logistics — same pattern. We measure throughput, infrastructure, and TCO on the workloads you'd run anyway.

The Offer

Take a Test Flight.

Bring up to three pipelines. We benchmark Falcon head-to-head against your current setup, train your team, and deliver a quantified value assessment in 2-4 weeks.

Up to 3 pipelines from your real environment
Apples-to-apples benchmarks against your current stack
No replatforming. No commitment.