Train and aggregate without centralizing raw data—collaborative ML for hospitals, banks, and device fleets.
Learn together—keep data where it already must stay
We deploy edge trainers that emit gradients or secure aggregates only—central servers never see row-level patient or customer records. Differential privacy noise and secure aggregation protocols align to threat models your security team signs off on. Governance consoles approve which partners join rounds, which metrics leave silos, and when to freeze models if drift or attack detectors fire.
01 // THE MANDATE
Train and aggregate without centralizing raw data—collaborative ML for hospitals, banks, and device fleets.
We deploy edge trainers that emit gradients or secure aggregates only—central servers never see row-level patient or customer records. Differential privacy noise and secure aggregation protocols align to threat models your security team signs off on.
Governance consoles approve which partners join rounds, which metrics leave silos, and when to freeze models if drift or attack detectors fire.
02 // ENGINEERING
Development process
Structured phases—from discovery to launch—with clear ownership and handoff points.
Threat model (weeks 1–4)
MVP (weeks 4–14)
Pilot (weeks 12–20)
Scale (weeks 18–26)
Operate (ongoing)
03 // CAPABILITIES
Core Capability Matrix
The building blocks of your solution
Clients
hospital nodes; device fleets optional.
FL rounds
scheduling; stragglers; failure handling.
Privacy
secure agg; DP optional; audits.
Models
PyTorch/TF export; ONNX optional.
Monitoring
drift; poison detection optional.
Federation
cross-device vs cross-silo modes.
Compliance
data use agreements; logging.
Ops
OTA client updates; version pins.
API
orchestrator; experiment tracking.
Viz
round metrics; participant health.
04 // DELIVERY LIFECYCLE
The strategic roadmap
Milestones and checkpoints—each phase has a clear outcome before the next begins.
Weeks 1–4: Legal and IRB-style approvals where applicable.
Weeks 5–12: Lab federated training convergence.
Weeks 13–20: Production pilot cohort.
Weeks 21–26: Monitoring and DP tuning.
Ongoing: New partners; attack surface reviews.
05 // PRODUCT SCOPING
Choosing your path
Two engagement models—start lean and iterate, or commit to a full platform build from day one.
MVP
Speed & essentialism
Full product
Enterprise maturity
06 // PARTNERSHIP
Why work together
A single accountable partner across strategy, build, and go-live—not a revolving door of vendors.
End-to-end ownership: discovery, architecture, implementation, and launch—with clear communication and production-grade engineering.
- Discovery & alignment
- Systems that scale
- Implementation depth
- Clear comms
07 // CLARITY
Frequently asked
FL trains models; clean rooms answer queries—complementary depending on use case.
08 // MORE SOLUTIONS
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