What it is
System integration is the work of making software that was never designed to cooperate behave like one operation — custodians, brokers, market-data vendors, core-banking systems and institutional platforms, each with its own formats, latencies and failure modes. finnerve's system integration does that as a library, not a series of one-off projects: every connector we build joins a catalogue of patterns already validated against the same vendor in another deployment, so by the third custodian integration we're composing from proven primitives rather than writing from scratch. Eighty-plus connectors are live today across FIX, SWIFT, REST and file feeds.
The discipline shows most at cutover. Migrations are migration-grade: we expect zero data loss, a reconcilable audit trail end to end, and a runbook your own team can re-run a year later when a vendor changes its API. Where no off-the-shelf option fits, we build the bespoke system and generalise it back into the library when the pattern repeats. And because the pillar is agnostic by definition, we work with whatever is already in your stack — Pivolt, Addepar, BRITech, Geneva, Murex, your custodians and your brokers — rather than pushing a platform of our own; every engagement ends with handover docs and an exit clause, so what we build is yours to keep.
Who it's for
system integration is for operations carrying more than one platform and paying the tax daily — in workarounds, manual reconciliations and audit-prep weekends — from a manager migrating off a legacy PMS to a wealth-tech platform that needs a bespoke connector behind its own tools.
- Asset & wealth managers on heterogeneous stacks — several platforms made to behave like one, with the reconciliation running under a single contract.
- Managers migrating platforms — migration-grade cutovers with reconcilable history and zero data loss, against a hard regulatory deadline.
- Multi-custodian & multi-broker operations — connectors to the regional wholesale market: custody, brokerage and cash feeds reconciled daily.
- Platforms & wealth-tech firms — bespoke connectors and a documented API layer behind their own PMS, OMS, portal or reporting tools.
- Firms entering a new market — connectors to local custodians, brokers and regulatory formats added without a rip-and-replace.
What it covers
system integration owns the seams: what connects, what migrates, what gets built where nothing off-the-shelf fits — all under one operating contract.
- Connectors — custody, brokerage, market-data and core-banking feeds; 80+ live across FIX 4.4, SWIFT MT/MX, REST, GraphQL and SFTP/SCP file feeds.
- Migration tooling — migration-grade cutovers with zero data loss, a reconcilable audit trail end to end, historical replay, reversibility and a runbook.
- Core-platform integration — two-way connectors with Pivolt, Addepar, BRITech, Geneva and Murex, with round-trip reconciliation so trades, positions and NAVs flow both directions.
- Bespoke builds — one-off systems where the off-the-shelf option doesn't exist, generalised back into the library when the pattern repeats.
- Operating discipline — observability, idempotency and error budgets on every connector, plus handover docs and an exit clause so the engagement is yours to keep.
How it fits your stack
system integration sits in the seams of your stack, not on top of it. On one side it pulls positions, transactions, cash, pricing and reference data from your custodians, brokers and market-data vendors; in the middle it normalises, reconciles and routes under one idempotency and observability contract; on the other side it feeds the platforms you run — core institutional systems, your banking and payment rails, and your own PMS and OMS. When you're moving platforms, the same layer replays and reconciles history from the legacy system so the cutover loses nothing.
The next connector compounds off the last
Engagements are led by engineers who've already run these cutovers. A new connector composes from the 80+ library — primitives validated against the same vendor elsewhere. Observability ships from day one, not before go-live.
From there, AI agents carry the operational load a manual pipeline would leave to a person: they watch feed health and latency, detect and resolve breaks, and clear the routine exceptions, alerting before a downstream system notices anything wrong. The goal of every engagement is the same — the shortest defensible path to feeds that reconcile and a cutover that loses nothing — and because each connector generalises back into the library, the next integration compounds off the last. Tell us your stack and give us a day of your feeds, and we'll tell you what we've already built.
Results
What good looks like: a manager migrates off a legacy platform across several custodians and data vendors, with history replayed and reconciled end to end, and goes live with no manual breaks to clear.
We'll bring the named reference closest to your migration — and its real numbers — to the working session.
Frequently asked questions
We've been burned by integration projects that became permanent overhead. How is this different?
The failure mode you're describing comes from treating integration as a bespoke project with no reuse and no exit. We treat it as a library — idempotent, observable connectors that compose from proven patterns — and every engagement ends with a runbook, handover docs and an exit clause, so your own team can operate and re-run it without us. You're not buying a dependency; you're buying a capability you keep. Bring the stack that burned you to a working session and we'll show you which parts we've already solved.
We're migrating off a legacy PMS with a regulatory deadline. Can you guarantee no data loss?
Migration-grade means exactly that: we replay the historical transactions, reconcile them end to end, and hold a reversible, auditable trail through the cutover, so nothing is dropped and everything is defensible the day an inspector asks. The point of the replay is that you can prove the new system holds what the old one did, to the record. We won't quote you another firm's numbers, but we will run a slice of your own history through the migration tooling in a working session so you can see the reconciliation for yourself. Bring us a day of legacy history and a deadline.
Do you push your own platform, or genuinely work with what we already have?
Genuinely agnostic — it's the pillar. We build connectors to and between whatever is already in your stack, Pivolt, Addepar, BRITech, Geneva, Murex, your custodians and your brokers, and the recommendation is fit, not provenance. If the right answer is to keep the platform you have and connect it properly, that's the answer you'll get. Tell us your stack in a working session and we'll tell you what we'd change and what we'd leave exactly where it is.
What happens a year from now when a vendor changes their API?
That's precisely why every connector ships with a runbook, observability and an idempotency contract: when the vendor changes, your own team re-runs the documented pipeline rather than reopening a project, and the observability catches the change before it silently breaks a downstream system. Because the connector lives in a validated library, the fix is a known pattern, not a rediscovery.
How do you handle the FIX and SWIFT specifics of the regional custodians?
That's the home ground of the library: 80+ connectors live across custody, brokerage and market data, spanning FIX 4.4 sessions, SWIFT MT/MX adapters and the reconciled cash ledgers behind them, in production across our seven markets and their local regulation. Each one carries the same reconciliation discipline — custodian wins position, pricing source wins price — rather than a per-project reinvention. Bring the specific custodians and venues you clear through to a working session and we'll map them against what's already live.
Off-the-shelf doesn't cover one thing we need. Can you just build it?
Yes — that's the bespoke family, and it runs under the same discipline as everything else: observability, idempotency, a runbook and an exit clause, so a one-off doesn't become an orphan. When the pattern turns out to repeat, we generalise it back into the library, so your bespoke build accumulates fewer failure modes each quarter — not more.