AI & ML Development

Intelligent systems that automate decisions, predict outcomes, and unlock insights.

35+
AI features shipped
60%
Avg task time saved
LLM
OpenAI & open models
MLOps
Production ready

Why teams choose us for Development

Trusted by startups and enterprises across 12+ countries

AI should solve real workflow problems - not demo well in a slide deck. We help you identify high-impact use cases, choose the right models (custom ML, OpenAI, or open-source LLMs), and ship features users trust with guardrails and observability.

From document extraction and support copilots to recommendation engines and computer vision on the factory floor, our team handles data pipelines, fine-tuning, evaluation, and production deployment with MLOps best practices.

With experience across healthcare, fintech, and operations-heavy industries, we know how to navigate privacy, bias, and compliance concerns while still moving fast enough to beat competitors to market.

A partner built for serious products

Security-first engineering

Every build follows secure SDLC practices - encryption, access control, audit logs, and compliance-ready architecture from day one.

Dedicated product squad

You work with a stable team of developers, designers, and a project lead - not rotating freelancers. Weekly demos keep you in control.

Fast, predictable delivery

Two-week sprints, transparent timelines, and proactive risk flags so launches stay on schedule without surprise scope creep.

Post-launch partnership

We stay after go-live with monitoring, bug fixes, and feature iterations - most clients work with us for years, not months.

From idea to production

A proven five-phase process with clear deliverables at every stage - no black boxes.

01

Discovery & strategy

We map business goals, users, and technical constraints. Output: scope document, wireframes, and a fixed timeline with milestones.

02

Design & prototyping

UI/UX in Figma with interactive prototypes. You approve every screen before a single line of production code is written.

03

Agile development

Bi-weekly sprints with staging demos. Code reviews, automated tests, and CI/CD pipelines keep quality high and releases frequent.

04

QA & hardening

Manual + automated testing across devices and edge cases. Performance profiling, security checks, and UAT with your team.

05

Launch & scale

Production deployment, monitoring setup, documentation, and handover. Optional retainer for ongoing features and support.

Real results for real clients

Selected projects that show how we solve complex problems and deliver measurable business impact.

Leadership & performanceReactNode.jsPostgreSQLStripe

TripleGoal

TripleGoal - SaaS

Goal-tracking and leadership development platform used by 500+ enterprise teams for OKRs, check-ins, and executive dashboards.

Challenge

The founding team had a validated prototype but needed enterprise-grade permissions, real-time analytics, and SOC2-aligned infrastructure before selling to Fortune 500 HR departments.

Solution

We delivered a multi-tenant SaaS architecture with SSO, granular roles, WebSocket-powered live dashboards, and Stripe billing - all instrumented for product analytics from day one.

Goal completion rate
500+
Enterprise teams
<200ms
API response
Zero
Critical incidents
Fleet & transportationReact NativeNode.jsMapboxAWS IoT

Hubfleet

Hubfleet - Logistics

End-to-end fleet management with GPS tracking, predictive maintenance, and automated dispatch for 1,000+ vehicles.

Challenge

Operations teams were losing visibility across regions - fuel waste, missed maintenance, and manual dispatch calls were costing millions annually.

Solution

Real-time tracking map, driver mobile apps, ML-based maintenance alerts, and route optimization reduced operational cost while giving executives a single source of truth.

30%
Fuel savings
1K+
Vehicles tracked
$2M+
Annual savings
24/7
Live monitoring

What we deliver

  • Custom ML model development
  • NLP & conversational AI
  • Computer vision systems
  • OpenAI & LLM integrations
  • Predictive analytics pipelines
  • MLOps & model deployment

Technologies we use

PythonTensorFlowPyTorchOpenAILangChainHugging Face
They integrated GPT into our support flow without breaking compliance. Ticket deflection jumped 40% in the first month.

Michael Torres

CEO, TripleGoal

Common questions

MVPs usually ship in 8-14 weeks. Enterprise platforms range from 4-9 months depending on integrations and compliance needs. We give a fixed estimate after discovery.

Ready to build with Vextrosys?

Tell us about your project - we respond within 24 hours with a clear plan and timeline.