Bridgetree Technologies
// Specialist technology consultancy

Engineeringsoftware withintent & execution

Bridgetree builds high-performance software for frontier technology - specializing in trading and liquidity infrastructure, AI, blockchain systems. Scalable, reliable, and built to last.

Payments EngineeringSmart ContractsAI SystemsRegulated Tech
Areas of depth

Domains we live inside.

Deep specialism across payments infrastructure, on-chain settlement, applied-AI systems, and audit-grade platforms.

Payments engineeringSmart contractsLedger systemsLLM applicationsISO 20022On-chain infrastructureRegulated techEmbedded financeRAG pipelinesReliability engineeringPayments engineeringSmart contractsLedger systemsLLM applicationsISO 20022On-chain infrastructureRegulated techEmbedded financeRAG pipelinesReliability engineering
Event sourcingAuthorisation & settlementCustody & MPCVector searchObservabilitySLO engineeringCapacity planningAudit-grade systemsMulti-tenant coresModel evaluationEvent sourcingAuthorisation & settlementCustody & MPCVector searchObservabilitySLO engineeringCapacity planningAudit-grade systemsMulti-tenant coresModel evaluation
What we do

Three disciplines.
One standard.

We work across the lifecycle of high-stakes software — foundational architecture, bespoke build, and the unglamorous reliability work that turns systems already in production into infrastructure you can build on.

Full services
/ 01

Technology Consulting

Architecture design, system strategy and principal-level technical advisory across payments, blockchain, web3 and AI — for organisations that cannot afford to get foundational decisions wrong.

  • Architecture design
  • System strategy
  • Web3 & chain selection
  • AI / LLM strategy
  • Technical due diligence
/ 02

Custom Software Development

Backend systems, APIs, ledgers, smart contracts, AI pipelines and the infrastructure that supports them — engineered for correctness and operational longevity.

  • Backend systems & ledgers
  • Smart contracts & on-chain infra
  • AI / LLM applications & RAG
  • Event-driven architectures
  • Cloud infrastructure as code
/ 03

Systems Optimization & Scaling

Performance, reliability and refactoring work that turns fragile systems into infrastructure your business can build on with confidence.

  • Performance profiling & tuning
  • Bounded refactoring
  • SLO design & instrumentation
  • AI inference & cost tuning
  • Capacity engineering
Reliability
Production-grade engineering as a default posture.
Scalability
Architectures designed for the next two orders of magnitude.
Substance
Real systems, real outcomes, real evidence.
Discretion
Principal-led delivery. No theatre. NDAs as standard.
Industries

Where software is the business.

Most of our work sits along the seam between money, data and trust — domains where reliability is a regulatory question and a wrong architectural call compounds for years.

Explore industries
01

Payments & card schemes

Authorisation, settlement, reconciliation, dispute systems.

02

Blockchain & Web3

Smart contracts, on-chain infra, custody, tokenisation.

03

Fintech & embedded finance

API platforms, multi-tenant cores, partner onboarding.

04

AI & data products

LLM applications, RAG pipelines, evaluation, model ops.

05

Regulated technology

Audit-grade systems for licensed operators.

By the numbers

The standards we hold ourselves to.

Numbers are easy to print and hard to live up to. These are budgets we hold ourselves to on the systems we design, build and operate — not marketing claims.

0.00%
Production SLO targets we routinely engineer toward
<0ms
Tail latency budgets we hold ourselves to on hot paths
0⁸+
Events per day handled by systems we've built or scaled
0%
Engagements led directly by the principal engineers who scoped them
Approach

Principal-led engineering. No middle layer.

Engagements are run by the people who do the work. Communication is direct. Decisions are written down. Outcomes are measured.

01

Diagnose before we build

Every engagement starts with a clear-eyed view of the system, the constraints and the real objective. We turn things down when the diagnosis says we should.

02

Engineer for the long horizon

We optimise for systems that survive change — observable, testable, well-bounded, boring in the right places.

03

Deliver, don't perform

Working software in production is the only meaningful artefact. Decks and diagrams support that, they don't replace it.

04

Hand the system back

We design engagements to end. The team you keep should be more capable on the day we leave than the day we arrived.

Engineering surface

Languages, platforms & protocols.

We pick tools to fit the problem. These are the ones we reach for most often — and the protocols and standards we work in fluently.

TypeScriptGoRustPythonJavaKotlinPostgreSQLKafkaRedisClickHouseTemporalAWSGCPCloudflareKubernetesTerraformISO 20022OpenAPIgRPCSolidityEVMFoundryviemLangChainOpenAIpgvector
TypeScriptGoRustPythonJavaKotlinPostgreSQLKafkaRedisClickHouseTemporalAWSGCPCloudflareKubernetesTerraformISO 20022OpenAPIgRPCSolidityEVMFoundryviemLangChainOpenAIpgvectorTypeScriptGoRustPythonJavaKotlinPostgreSQLKafkaRedisClickHouseTemporalAWSGCPCloudflareKubernetesTerraformISO 20022OpenAPIgRPCSolidityEVMFoundryviemLangChainOpenAIpgvector
Selected engagements

The shape of our work.

Most of our engagements are covered by NDA. The patterns below are anonymised summaries of recurring engagement shapes — useful as reference points for the kind of work we take on.

PAYMENTSEMBEDDED · 6 MONTHS

Re-platforming an authorisation engine to halve tail latency

Re-architected a payment authorisation path from a synchronous monolith to an event-driven core with explicit idempotency and replay. Hot-path p99 reduced from 180ms to 65ms; reconciliation discrepancies down ~95%.

NDA · Anonymised01 / 04
WEB3OUTCOME · 4 MONTHS

Hardening a multi-chain custody and settlement layer

Designed and shipped a key-management and settlement service across EVM and L2 networks, with deterministic accounting, signed-message provenance and an audit-grade query model. Went live carrying real customer balances on day one.

NDA · Anonymised02 / 04
AIEMBEDDED · 5 MONTHS

Production-grade RAG over a regulated knowledge corpus

Built an evaluation-driven LLM application with hybrid retrieval, citation enforcement and per-query cost telemetry. Hallucination rate cut by an order of magnitude versus the in-house baseline; inference cost reduced ~60%.

NDA · Anonymised03 / 04
REGULATED TECHDIAGNOSTIC · 3 WEEKS

Pre-licence technical readiness review for an EMI applicant

Independent technical review of architecture, security posture, BCP/DR and operational evidence ahead of regulator submission. Delivered a prioritised remediation plan that supported a successful authorisation cycle.

NDA · Anonymised04 / 04

Detailed references available under NDA on request.

In a room with a regulator
The difference between adequate and excellent engineering is measured in incidents avoided, not features shipped — and in whether you can prove, on a Tuesday afternoon, exactly what your system did at 2am on Sunday.
— How we think about building for regulated environments.
Work with us

Have a system that needs to work?

We take on a focused number of engagements at a time. Tell us what you're building, scaling, or trying to fix — a principal engineer will respond within one business day.