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[ AI & product engineering ]

See further.Build with certainty.

NeuroVista is a product engineering studio. We design, build and launch AI products and business platforms — from first sketch to global scale. 20+ strategists, designers and engineers in one accountable team.

Start a projectSee how we work
Scroll Est. 2026 · One distributed team · Worldwide

Specialists

strategy, design and engineering

Years together

building products as one team

Products shipped

AI, business platforms and fintech

Team

Global

distributed across time zones

[ 01 ] What we build

AI products and business platforms,built to run every day.

Five disciplines under one roof — no hand-offs between vendors. Deep fintech experience when your product moves money.

AI that works in production, not just in demos: agents, RAG knowledge systems, copilots, document AI, predictive models, evals and guardrails.

Explore AI & ML

Agent pipeline · RAG · Tools · Evals

Business platforms built to run every day: SaaS and B2B systems, internal tools, web and mobile apps, APIs and integrations, cloud and DevOps, legacy modernization.

Explore engineering

Platform architecture · Built layer by layer

Research, UX and UI, interactive prototypes, design systems and motion — interfaces people understand on first use.

Explore design

From wireframe to interface

Discovery, technical due diligence, architecture reviews, AI strategy and CTO-as-a-service — a clear plan before the budget is spent.

Explore consulting

Roadmap · Milestones · Releases

Payments and FX, digital banking, wallets and cards, stablecoin rails, KYC/AML automation — engineered for regulated, high-stakes products.

Explore fintech

Payment flow · Compliance · Ledger

EVALS · GUARDSINPUTRETRIEVELLMACTOUTPUTKNOWLEDGEdocs · wiki · databasesTOOLSCRM · ERP · APIs
APPSWebiOSAndroidAdminAPIGateway · Auth · Rate limitsSERVICESOrdersBillingUsersAIDATAPostgresKafkaERPCRMCLOUDKubernetesCI / CDMonitoringDEPLOY
Q1Q2Q3Q4DISCOVERYDESIGNMVP BUILDBETALAUNCHSCALETODAY
ACCOUNTFXKYC / AMLPAYOUTLEDGERLIVEPayout · supplier−8,420.00 EURFX · USD → EUR+11,960.40 EURCard top-up+2,500.00 USDCompliance checkPASSEDStablecoin settlement+15,000.00 USDTPayout · supplier−8,420.00 EURFX · USD → EUR+11,960.40 EURCard top-up+2,500.00 USDCompliance checkPASSEDStablecoin settlement+15,000.00 USDT
Agent pipeline · RAG · Tools · EvalsPlatform architecture · Built layer by layerFrom wireframe to interfaceRoadmap · Milestones · ReleasesPayment flow · Compliance · Ledger

[ 02 ] How we work

Six stages. One team.Watch a product come together.

Scroll on. The same points of light become requirements, screens, a working system, tests, growth — and a product used worldwide.

01 · Discovery · 2–4 weeks

We map the problem before writing code.

Workshops with your team, a user and data audit, risks, architecture options and a detailed estimate.

You get · Roadmap · Architecture · Budget

02 · Design · 3–6 weeks

You click through the product before we build it.

Research, user flows, an interactive prototype and a design system your team owns.

You get · Prototype · Design system

03 · Build · 3–9 months

Two-week sprints. A working demo every time.

One cross-functional team — backend, frontend, mobile and AI. Access to code and tasks from day one.

You get · Working software · Full transparency

04 · Quality & Security · Alongside build

Tested as if it were already live.

Automated and load testing, security review and compliance checks for regulated industries.

You get · Test reports · Audit readiness

05 · Launch · 1–2 weeks

Release without drama.

Infrastructure as code, a staged rollout, monitoring and alerts from the first hour.

You get · A product in production

06 · Scale · Ongoing

We stay after launch.

SLA support, new features, performance and cost optimization — the team grows with your product.

You get · A long-term engineering partner

Typical first release: 4–6 months from kickoff.

See the full process

Typical first release: 4–6 months from kickoff.

See the full process

[ 03 ] Selected work

Built for teams thatcan’t afford to guess.

Client names withheld under NDA

Case 01 · SaaS · AI

LLM support agent

A first-line support agent wired into internal systems — it resolves routine requests and hands the rest to people.

Case 02 · Logistics · B2B

B2B operations platform

A web and mobile platform that runs day-to-day operations for a logistics business — orders, people and partners in one place.

Case 03 · Insurance · AI

Document AI for onboarding

Customer documents are read, checked and routed automatically — people review only the edge cases.

All case studies

[ 04 ] AI-native delivery

AI in what we build —and in how we build it.

We use AI across our own delivery: research synthesis, code assistance with mandatory human review, test generation and documentation. It shortens every loop. Senior engineers stay accountable for every decision.

  • DiscoveryResearch synthesis across interviews, documents and data
  • DesignFaster prototype variants and content drafts
  • BuildCode assistance — a senior engineer reviews every change
  • QualityTest generation and automated code review
  • LaunchRelease checks, runbooks and documentation
  • ScaleMonitoring triage and docs that stay current
  • Faster iterations
  • Human review on every change
  • Your data stays yours

We use AI tools only under business terms that exclude training on your code and data — or models hosted on infrastructure you control. If your policy is stricter, we follow yours.

[ Industries ]

SaaS & B2B platformsLogistics & supply chainE-commerce & marketplacesInsurance
Fintech & paymentsBanking & lendingCrypto & digital assets

[ 05 ] Contact

Have a complex product in mind?Let’s talk.

✓ reply within one business day · NDA on request

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