AI-Native Engineering
Autonomous agents in the build loop.
We architect, refactor, and verify production systems with autonomous agents — Claude Code for code-level reasoning, Gemini for multimodal document parsing.
production systems forged
Texova is defined by the hard problems it solves, not the products it ships. These are the engineering disciplines we've taken to production — each one proven in real systems, every claim backed by running code.
Autonomous agents in the build loop.
We architect, refactor, and verify production systems with autonomous agents — Claude Code for code-level reasoning, Gemini for multimodal document parsing.
production systems forged
Glass-box models on real data, at scale.
Embedding-based pattern matching over 1.37M vectors, fused with sentiment and macro signals into explainable scores — every weight exposed in the payload.
indexed embeddings
Certified PDFs that survive automation.
XFA-aware autofill across 38 IRCC form-language combinations that preserves Adobe's DocMDP certification — the cert stays valid, the form stays submittable.
certified form variants
Parallel lanes, streamed in real time.
Queue-backed async pipelines that fan one request across parallel worker lanes and stream partial results to clients — first signal in under a second.
first signal latency
Regulation engineered into the schema.
Canadian data residency, immutable audit trails, and consent ledgers built in from the schema up — Law 25, PIPEDA, and PIPA by construction.
Canadian residency
Isolation you can prove.
Tenant isolation enforced at the query layer and verified by adversarial tests — even a super-admin cannot read tenant content.
isolation assertions
Type-safe, server-first, end to end.
Next.js 15 RSC frontends over typed services, with Zod schema factories powering shared validation and first-class bilingual i18n.
type errors shipped
Money and webhooks, done idempotently.
Unified credit ledgers across web and mobile, idempotent Stripe / IAP top-ups, and HMAC-signed webhooks with escalating retry backoff.
retry backoff stages
Autonomous agents in the build loop.
Every system we ship is built by an agentic pipeline. Claude Code reasons over the full workspace graph to extract modules, tighten types, and harden boundaries inside isolated worktrees — changes are proposed, tested, and verified before they land. Gemini's large multimodal context windows ingest dense source material (47 IRCC PDF templates, regulatory text, form schemas) and emit structure that becomes typed mappers and validation rules. Humans steer the objectives and own the boundaries; agents do the mechanical heavy lifting at machine speed.
Glass-box models on real data, at scale.
We encode 60-bar OHLCV windows into 128-dimensional L2-normalized embeddings with a 1-D CNN autoencoder and index 1.37M of them in Vertex AI Vector Search for sub-100ms nearest-neighbour queries. Matches are weighted by an exponential recency decay (1.5-year half-life), then fused with news sentiment, social velocity, and a VIX-derived macro regime into a single 0–100 conviction score. Critically, the full analytical chain — baseline weights → timeframe tilt → news-shock mutation → active weights — ships in the response, so nothing is a black box. The engine is guarded by 1,004 hermetic tests.
Certified PDFs that survive automation.
Government PDF forms are XFA-based and cryptographically certified (DocMDP /P=2); naive autofill breaks the certificate. Our split stack keeps data→XFA mapping in TypeScript while a Python FastAPI + PyMuPDF microservice performs a byte-level incremental write into the original template — never rewriting the document body. The certification ribbon stays blue across all 38 form-language combinations, including French path-rewriting that remaps per-column table headers. The output is officially submittable, machine-generated filings.
Parallel lanes, streamed in real time.
We build event-driven systems on durable Postgres queues (Supabase pgmq) rather than bolt-on brokers. A single request fans into parallel worker lanes — a fast lane returning in under a second and a slower enrichment lane running for tens of seconds — with results streamed to the client over Supabase Realtime via postgres_changes. Responses are cached with TTLs, jobs are idempotent, and external API calls degrade gracefully instead of failing the request.
Regulation engineered into the schema.
For regulated markets, compliance is an architecture decision, not a policy PDF. We pin personal data to Canadian regions (Supabase ca-central-1), model the processor/controller relationship explicitly, and track consent versions and timestamps per user. Every state change writes an immutable, append-only audit row with timestamp, IP hash, and user-agent — no UPDATE or DELETE policies — producing an eDiscovery-grade record that satisfies Quebec Law 25, PIPEDA, and Alberta PIPA.
Isolation you can prove.
We enforce tenancy at the data layer, not in application if-statements. A dual-layer Prisma vault injects tenant predicates on every query, role-based access spans five concurrent surfaces, and structural boundaries prevent privilege escalation — a SUPER_ADMIN is barred from case content by construction. The boundary isn't asserted in a doc; it's proven by 39 adversarial cross-tenant assertions and a dedicated IDOR test suite that run on every deploy.
Type-safe, server-first, end to end.
Our frontends are server-first: React Server Components by default, client interactivity pushed to the leaves, strict TypeScript from the database row to the DOM. A single set of Zod schemas validates on both client and server, and a locale-aware schema factory makes bilingual EN/FR a first-class concern — fields, errors, and content localized through one layer rather than translated after the fact.
Money and webhooks, done idempotently.
We treat money and integrations as reliability problems. A unified credit wallet spans web and native (Capacitor) shells, with a ledger that tags every grant by rail — Stripe, Apple IAP, Google Play — and idempotency keys that ensure a retry storm never double-charges. Outbound events are HMAC-SHA256-signed and retried on an escalating backoff (1m / 5m / 15m / 1h / 6h) with every attempt recorded, so downstream systems get exactly the proof they need.
Every capability above ships in a real system. See the work it powers, or step inside the engine room where it gets built.