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Category G · 5 services

Enterprise Platform & Data Engineering

The load-bearing software an organization runs on, engineered to the tolerances of the hardware beneath it.

Blue and green patch cables running across the back of a server rack

Most of what an organization calls software is a system of record under load. We treat it the way we treat a switching fabric or a control loop: measure it, find the layer that actually sets the limit, and rebuild that layer. This is not application maintenance. It is the architecture of the systems a business cannot switch off.

What we build

G.1

Distributed Transaction and Backend Systems

Event-driven cores that hold consistency under load

Transactional cores designed for correctness under concurrency. Includes event-sourced and CQRS architectures, idempotent APIs and exactly-once processing over Kafka and Pulsar, saga and outbox patterns for cross-service consistency, partitioning and sharding chosen from the measured access pattern, back-pressure and load-shedding at every boundary, and multi-region topologies whose consistency and failover semantics are written down before they are needed.

  • Kafka
  • gRPC
  • CQRS
  • Sagas
  • Idempotency
  • Multi-region
What we build
G.2

Data Platforms and Streaming Analytics

Lakehouse and stream processing with sub-second freshness

Data platforms built for freshness and lineage, not volume alone. Includes lakehouse storage on Iceberg or Delta, change-data-capture ingestion from operational systems, streaming transformation in Flink or Spark, columnar and time-series serving layers, metric and semantic definitions held in one place, column-level lineage end to end, and contract tests that fail a pipeline before a dashboard reports a wrong number.

  • Apache Iceberg
  • Flink
  • CDC
  • dbt
  • Parquet
  • Lineage
What we build
G.3

Reliability and Observability Engineering

Error budgets, traces, and failure testing on the paths that matter

The measurement and failure discipline that keeps a platform inside its availability target. Includes service level objectives derived from user-visible paths rather than host metrics, distributed tracing and high-cardinality telemetry through OpenTelemetry and eBPF, cost-aware retention tiers, progressive delivery with automated rollback on an error-budget breach, chaos and load testing against production topologies, and incident review that ends in a code change.

  • SLO
  • OpenTelemetry
  • eBPF
  • Chaos testing
  • Progressive delivery
What we build
G.4

Security and Cryptographic Architecture

Identity, key custody, and zero-trust paths through the whole stack

Security designed into the architecture rather than added at its edge. Includes workload identity and short-lived credentials, key custody in HSMs and KMS with rotation and recovery documented and rehearsed, end-to-end encryption and tokenization for regulated data, zero-trust paths with policy enforced at every hop, supply-chain integrity through signed builds and SBOMs, and threat models written against the system as it is actually deployed.

  • mTLS
  • SPIFFE
  • HSM/KMS
  • Zero trust
  • SBOM
  • Sigstore
What we build
G.5

Operator and Decision Interfaces

Front ends for systems where a wrong click has consequences

Interfaces for people who operate complex systems under time pressure. Includes real-time views over streaming telemetry at high update rates, geospatial and topology visualization that stays readable as the estate grows, alarm shelving and rationalization so the signal that matters survives, confirm-and-commit flows on irreversible actions, an audit trail of who saw what and acted when, and colour and contrast treatments that hold up on a control room wall.

  • WebGL
  • WebSocket
  • ISA-101
  • Audit trail
  • WCAG 2.2
What we build

How it connects

Inside enterprise platforms.

The systems in this area, and what each one hands to the next.

01

Distributed Backend Systems

Transactional cores designed for correctness under concurrency.

What we build
02

Data Platforms & Streaming

Data platforms built for freshness and lineage, not volume alone.

What we build
03

Reliability Engineering

The measurement and failure discipline that keeps a platform inside its availability target.

What we build
04

Security Architecture

Security designed into the architecture rather than added at its edge.

What we build
05

Operator Interfaces

Interfaces for people who operate complex systems under time pressure.

What we build

Bring us the whole stack.

Tell us where latency is costing you, from the die to the data center to the control room. An architect replies with a first read of the problem, not a sales deck.