An engineering partner for companies that refuse to ship average. We build AI-native SaaS, enterprise platforms, financial and telecom infrastructure — from first prototype to systems that run at scale.
$ enverbit init --product
✓ discovery sprint · scope locked
✓ agent layer · rag · evals
✓ ledger · kyc · pci-dss scope
✓ k8s · observability · finops
→ shipping to production
Most studios sell hours. We ship systems that keep earning after launch — products where AI is part of the architecture, money moves like data, and every release compounds the last.
Every engagement draws on the same senior bench — product, AI, platform and payments engineers who have shipped regulated, high-load systems before.
Copilots, autonomous agents and retrieval systems built into your product — with evaluation suites, guardrails and cost controls so they survive contact with real users.
Subscription products engineered for growth: tenant isolation, usage-based billing, self-serve onboarding, analytics and the admin tooling your ops team actually wants.
Workflow automation, integration hubs and internal platforms that connect ERP, CRM and legacy cores — secured, audited and built to pass procurement.
Payment orchestration, double-entry ledgers, wallets, card issuing and KYC/AML flows — designed inside PCI DSS scope and ready for auditors, banks and regulators.
Native and cross-platform apps with obsessive UX, real-time features and growth loops — instrumented from the first release so every decision is measured.
Cloud architecture, migrations and Kubernetes platforms defined as code — a foundation your teams can keep shipping on for years.
SIP and VoIP calling apps, softswitch and PBX integration, WebRTC, and the BSS/OSS, billing and self-care platforms telecom operators run their business on.
A managed DevOps function without the hiring: CI/CD, round-the-clock monitoring and on-call, incident response, patching, backups and FinOps — so releases stay routine and the cloud bill makes sense.
The fastest-growing engineering demands of the year — and the practices we are building around them. Scroll →
Multi-agent systems that run back-office processes end to end — onboarding, reconciliation, support — with human checkpoints and full audit trails.
Monoliths and legacy cores migrated to cloud-native services with AI-assisted code analysis, test generation and incremental cut-over.
On/off-ramps, treasury and cross-border settlement on regulated stablecoin rails — MiCA-aware, bank-grade, integrated with fiat flows.
Accounts, cards, payouts and lending delivered as APIs inside non-financial products — the bank disappears into the experience.
Checkout and payment flows designed for AI agents as buyers — tokenized credentials, spending mandates and machine-readable catalogs.
Secure Model Context Protocol servers that expose your systems, data and actions to AI assistants — with scoped permissions and logging.
EU AI Act and DORA readiness built into the stack: model risk registers, explainability, resilience testing and automated evidence.
Crypto-inventory, crypto-agility and PQC migration roadmaps for payment and identity systems — before “harvest now, decrypt later” matters.
From a two-week proof of value to a dedicated team you eventually own — we price for outcomes, not for headcount theatre.
Discovery plus a working AI or product prototype on your data. You leave with a scoped roadmap and something real to demo.
A compact, AI-augmented squad — lead, engineers, QA, design — embedded in your roadmap and shipping weekly.
Fixed scope, shared KPIs. We commit to measurable results and get paid when they land.
We assemble and run your engineering centre, then hand over the team, the code and the playbooks.
Five stages, each ending in something you can see, test or ship. No black boxes, no surprise invoices.
Workshops, system audit and risk mapping. We define the outcome, the constraints and what “done” means.
A clickable or working prototype in days — AI features validated on real data before anyone writes a roadmap.
Weekly releases to a staging environment, automated tests, security reviews and architecture decisions on record.
Production cut-over with observability, runbooks and on-call in place — compliance evidence collected as we go.
Iterate on usage data, tune models and costs, and keep the platform compounding release after release.
Deep fintech roots, applied wherever reliability, compliance and scale are not optional.
Core integrations, digital onboarding, ledgers, partner APIs
02Orchestration, acquiring, stablecoin rails, treasury
03VoIP & SIP apps, BSS/OSS, self-care and billing platforms
04Multi-tenant products, payouts, trust & safety
05Ops automation, demand forecasting, commerce platforms
Tell us what you’re building. A senior engineer — not a sales script — replies within one business day.
[hello@enverbit.com]