Odyntiq is an enterprise engineering studio. We architect Odoo ERP estates, production AI/ML pipelines, cloud platforms and bespoke digital infrastructure for operators who measure in years, not sprints.
We are not a body shop. We take the whole system: architecture, delivery, and the operational reality that follows launch.
Every engagement opens with a written decision record — module boundaries, data contracts, failure modes. Nothing is built on assumptions.
The engineers who scope your system are the engineers who ship it. No handoffs to a delivery pool you never met.
We stay on the pager. Observability, runbooks and cost envelopes are part of the contract, not a follow-up invoice.
Load tests, error budgets and migration rehearsals. If it hasn't survived a dry run, it isn't done.
Four disciplines, one operating system. Each cell is a live practice with its own telemetry, blueprint and reference implementation. Open a cell to inspect how the work actually runs.
Enterprise Odoo from the data model up — custom modules, multi-company consolidation, manufacturing, and migration off legacy stacks without a minute of downtime.
# odoo/migrations/17_to_18/post.py def migrate(env): # staged, idempotent, reversible env['res.partner']._migrate_vat_index() with env.cr.savepoint(): env['stock.quant']._rebuild_valuation()
Production machine learning with real MLOps: feature stores, reproducible training, drift detection, and inference paths that meet a latency budget you can defend.
# serve/registry.py — pinned, audited model = registry.resolve( name="churn-v7", stage="prod") preds = model.predict(batch) monitor.record(preds, drift=True)
Kubernetes platforms, IaC, service mesh and cost governance. Built for multi-region failover and audit-ready compliance from day one.
# infra/platform/main.tf module "cluster" { source = "./modules/eks" regions = ["eu-west-1", "me-central-1"] autoscale = { min = 6, max = 140 } }
Product-grade web platforms, integration layers and APIs. Type-safe end to end, accessibility built in, and performance treated as a requirement.
// apps/web/trpc/router.ts export const orders = router({ byId: procedure .input(z.object({ id: z.string().uuid() })) .query(({ input }) => db.orders.find(input.id)), });
Four deployments, four different constraints. Each one shipped, measured, and still running. Open a card for the brief, the architecture and the outcome.
Eleven disconnected ERPs across four countries collapsed into one Odoo 18 estate.
Sub-40ms fraud inference on a streaming feature platform with full model auditability.
A dual-region Kubernetes platform carrying 2.1M daily shipment events.
One WCAG 2.2 AA portal replacing 26 departmental front doors.
Configure the shape of your engagement. The estimate below is computed live from scope, user tier, delivery velocity and operational add-ons — the same model we use to build a proposal.
A delivery method built to remove the two things that kill enterprise projects: unclear decisions and untested migration. Four phases, each with an artefact you can hold.
Stakeholder sessions, system archaeology and a written decision record. We leave with an agreed architecture and a risk register.
2 – 4 WEEKSDomain model, integration contracts, threat model and a costed delivery plan. Nothing gets built until this is signed off.
3 – 5 WEEKSTwo-week increments, always-shippable main, automated tests and a staging environment you can click through every Friday.
8 – 26 WEEKSLoad tests, migration rehearsals, runbooks and handover. Optional managed operations once the pager is ours.
4 – 8 WEEKSTell us what you are trying to run. A principal engineer reads every inquiry and replies within one business day — not a sales desk.