Market-data plumbing that stops guessing
Normalised multi-venue ingestion with deterministic replay, so teams can reproduce any minute of the day. Infrastructure only — no strategy, no advice, no return claims.
Financial infrastructure
Market-data ingestion, execution pipes and risk tooling. Engineering only — never advice.
We build the infrastructure underneath financial products: normalised multi-venue market-data ingestion, execution plumbing, risk tooling and the monitoring that makes all of it operable at three in the morning.
Latency budgets are treated as contracts. A p99 target is written down, measured continuously, and regressions fail the build.
To be explicit: WebDior provides engineering services only. We do not provide investment advice, manage assets, execute trades on behalf of clients, or make any claim about financial returns.
What we build under this capability now, with the architecture and the evaluation it is held to. Figures are illustrative until a client approves the real ones.
Normalised multi-venue ingestion with deterministic replay, so teams can reproduce any minute of the day. Infrastructure only — no strategy, no advice, no return claims.
Multi-step orchestration, tool use, permissioned actions and human checkpoints — built to run unattended and be audited afterwards.
Retrieval, extraction, classification and fine-tuning on proprietary corpora — measured against a benchmark you can defend.
Contracts, indexers and wallet-grade infrastructure with deterministic test suites.
Interfaces, billing, permissions and the platform that keeps intelligence shippable.
Product design, design systems and prototyping — so the intelligence underneath is usable, and the product looks the part.
Tell us the system you can't get built. We come back with a short, paid discovery — a clear plan and a fixed first milestone — usually within two working days.
A working session to map the problem and define what "good" is measured against.
Architecture, milestones and a fixed first deliverable — yours to keep, either way.
Embedded with your team or as a dedicated pod, shipping with traces, evals and docs.