Catch market-system regressions
before production.
BQS replays market workloads, verifies identical behavior, and blocks latency regressions in CI. Each run produces a signed evidence bundle engineering, risk, and compliance teams can verify.
Built for engineering teams maintaining market-data handlers and limit-order-book engines — where a code or infrastructure change can alter book state or tail latency without any ordinary CI test catching it.
Public harness includes scaled functions. Enterprise version includes full orchestration, CI contracts, and signed evidence bundles.
Figures on this page are from a controlled single-node ITCH replay workload on isolated Linux cores. Pilots produce environment-specific validation on your hardware.
Three primitives. One proof surface.
Every claim about a market system — speed, correctness, repeatability — reduces to evidence you can replay, gate, and forward.
Reconstruct the same workload with deterministic inputs and reproducible state transitions across environments.
Turn latency budgets and runtime-protection decisions into CI-enforced contracts that block regressions at merge time.
Package digests, manifests, metrics, and reports into forwardable evidence bundles for engineering, compliance, and investor review.
The proof path, end to end.
Inputs are canonicalised, replayed deterministically, measured against contractual latency gates, sealed into a digest, and packaged as evidence.
Where institutional teams deploy BQS.
Each surface produces a specific, forwardable proof artifact — not a dashboard, not a deck.
Market Replay & LOB Reconstruction
- Who
- Quant engineering, market-data teams
- Problem
- Reconstructing the same order book and event ordering across environments and code revisions.
- Artifact
- Deterministic replay harness + state-transition log
Latency Evidence & Performance Gates
- Who
- Engineering leads, SRE, performance owners
- Problem
- Catching tail-latency regressions before they reach production.
- Artifact
- CI gate report + p50/p95/p99 latency baseline
Compliance-Grade Evidence Bundles
- Who
- Compliance, audit, supervisors
- Problem
- Producing tamper-evident, forwardable records of system behaviour under controlled conditions.
- Artifact
- Signed bundle: manifest, digest, metrics, summary
Quant Infrastructure Benchmarking
- Who
- Platform engineering, infrastructure architects
- Problem
- Comparing engine builds, kernels, and stacks on an apples-to-apples workload.
- Artifact
- Cross-run benchmark report + golden-state digest
Enterprise Infrastructure Risk Analytics
- Who
- Risk engineering, technology risk
- Problem
- Quantifying the operational risk surface of latency-sensitive systems.
- Artifact
- Risk-mapped gate matrix + protection-path coverage
Investor / Buyer Technical Diligence
- Who
- CTOs, investors, acquirers
- Problem
- Validating engineering claims with reproducible artifacts instead of slides.
- Artifact
- Executive proof brief + replay bundle
A bundle is the unit of proof.
One sealed directory carries everything required to reproduce, verify, and forward the result.
- manifest.yaml
- bench.jsonl
- metrics.prom
- summary.txt
- compiler.meta
- system.meta
- digest.sig
- gates.json
Representative controlled benchmark sample. Enterprise pilots produce environment-specific validation.
- Can this run be reproduced bit-for-bit, today and twelve months from now?
- Did any latency budget regress against the prior golden run?
- Are protection-path activations covered and accounted for?
- Can a non-engineer read a one-page summary and act on it?
Measured. Replayable. Contextualised.
Figures below come from a controlled single-node ITCH replay on isolated Linux cores — internal harness, not a production exchange claim. Pilots produce environment-specific baselines on your hardware.
Live visual is a synthetic latency trace for illustrative purposes. Pilot engagements produce environment-specific baselines from your workloads.
Enterprise BQL 2.0 Pilot.
A 4–6 week proof engagement that turns your market system into a replayable, gated, and forwardable evidence surface.
Scope the target system, inputs, latency surface, and success criteria.
Stand up deterministic replay, canonical inputs, and the first golden digest.
Encode latency and protection-path gates into your CI pipeline.
Deliver signed evidence bundle, briefing deck, and deployment recommendation.
- Replay harness configured to your workload
- Latency baseline (p50 / p95 / p99 / p99.9)
- CI gate configuration committed to your repo
- Signed evidence bundle with golden-state digest
- Executive readout deck
- Deployment recommendation memo
Request the pilot brief.
One-page scope, deliverables, and timeline. Sent under NDA on request. You can also reach out to the founder on LinkedIn.
Jean Blanc.
Engineer and quantitative systems builder with 15+ years across high-consequence infrastructure, reliability engineering, asset performance, risk analytics, R&D, and data-driven systems. Blanc Quant Systems reflects a career-long focus on systems where traceability, repeatability, performance, and evidence matter.
Engineering of systems where evidence is non-optional.
Canonicalise inputs. Replay deterministically. Gate everything.
Forwardable artifacts — not slides, not anecdotes.
Defensible claims only. Controlled benchmarks labelled as such.
The proof layer for market systems. Raising to scale the wedge.
The harness works today. We are raising a pre-seed round to recruit a complementary co-founder and convert design partners into paid pilots.
Own the go-to-market with me.
I am the technical co-founder. I am looking for a complementary partner who can own design-partner relationships, pilot conversion, and institutional sales. You have lived inside quant funds, exchanges, or infra procurement. Meaningful equity, real ownership of revenue and go-to-market, founding-team trajectory.
- Deep network in quant, HFT, exchange, or RegTech buying centres
- Comfort selling infrastructure via proof, not pitch decks
- Wants to build a business customers can verify, not narrate
Fund the proof infrastructure thesis.
Operator-angels from quant, HFT, or low-latency infra. Pre-seed and seed funds in dev infrastructure, fintech infra, or compliance tooling. Strategics adjacent to exchanges, trading-tech vendors, and RegTech. Investor brief available under NDA.
- Wedge: deterministic replay + signed evidence bundles for market systems
- Pilot motion: 4–6 week paid engagements with forwardable artifacts
- Open-core: public harness for inspection, enterprise orchestration for buyers
What's built and running today.
- Working C++20 deterministic replay engine
- ITCH workload supported end-to-end
- Reproducible state digest across environments
- CI latency gates (p50 / p95 / p99 / p99.9) enforced at merge
- Sealed evidence-bundle generation (manifest, metrics, digest, summary)
- Public harness available for inspection
Measured, not narrated.
- Working product; conducting design-partner evaluations with market-infrastructure teams
- Paid pilot motion defined: 4–6 week engagement with forwardable artifacts
- Pre-seed conversations open with operator-angels and infra-focused funds
Design partners, pilots, and revenue reported as they close — not before.
Why now, in third-party terms.
- $16.95B → $33BAlgorithmic trading market, 2026 → 2032 at ~11.7% CAGR (360iResearch)
- $2.42B → $3.73BHFT server market, 2026 → 2030, microsecond-latency and AI-driven demand (GlobeNewswire)
- $10B+ / yrBuy-side technology spend, concentrated on trading-desk technology (Coalition Greenwich)
- Table stakesDeterministic execution, audit trails, CI-based latency profiling now expected in institutional diligence (ETH, ETNA, STAC)
Industry signals validating the problem and market — not endorsements of the company.
Pre-seed raise · early investor conversations · pilot engagements open
Need to prove how your market system behaves under replay?
Get the executive proof brief, request a 4–6 week pilot scope, or inspect the public harness. Prefer a direct message? Reach out to the founder on LinkedIn.
Controlled benchmark figures only. Pilots produce environment-specific validation.