Your data, shaped for AI.
Automatically.

Any source. Any schema.
Delivered to any destination in real time.

Book a demo Read the Docs

Intelligence separate from execution.

Fleak's Brain layer understands your data and generates transformation configs. The Muscle layer executes them as deterministic code, at any scale, with no AI processing or overhead at runtime.

Brain Layer

Understands what your data means

Analyzes sample data, generates transformation configs, monitors pipeline health. Every proposed config is reviewed by a human before deployment.

  • Identifies field structure and semantics from any input format
  • Generates transformation configs in ~3 min — wall-clock measured
  • Detects upstream schema drift and proposes a fix automatically
  • LLM-agnostic — works with any foundation model
Muscle layer (Zephflow)

Executes at any scale, zero AI overhead

Once a config is approved and deployed, execution is fully deterministic — no model calls, no inference cost, no latency penalty per event.

  • 8,000 events/sec per CPU, full transformation included — horizontally scalable
  • No AI inference at runtime — pure deterministic execution
  • Zero storage — processes entirely in memory, in transit
  • Stateless and horizontally scalable

Your data has more STRUCTURE than you think.

Fleak analyzes sample data from any source, identifies every field, and maps it to your destination schema — automatically. 90% field accuracy out of the box, measured against customer data. The AI learns on the job to close the gap.

Structured schema

Intent-aware Delivery.

Fleak evaluates each event before it moves — routing to AI agents, data lakes, or cold storage based on its downstream value. Human approves before anything is filtered out.

Cybersecurity intent-aware delivery flow
Self healing

When your sources change,
Fleak adapts.

Schema drift is inevitable. Fleak detects it, generates a new config, and surfaces it for review — before anything downstream breaks.

01

Drift detected

Success rate drops. Monitor triggers. No manual inspection needed.

02

New config generated

Brain layer analyzes the new pattern and produces an updated transformation config in ~3 minutes.

03

Human reviews → deployed

One approval. Deployed. Success rate recovers. Minutes, not an on-call incident.

Outcomes

What your customers see

6mo → 1wk

Time to connect a new source vs. traditional integration workflows.

8K EPS Per CPU

Full transformation. No AI inference at runtime. Scale horizontally.

200+ → 0

Custom integration pipelines replaced. A Fortune 500 enterprise replaced 200+ Boomi, Workato & MuleSoft pipelines with Fleak.