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We Build AI ProductsThat Reach Production

iLytix markAI Product Engineering Partner

iLytix designs and delivers AI-powered software, intelligent automation, and data platforms — built to production standards and ready for real users.

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Delivery record
150+products delivered50+global clients4priority markets
01Outcomes

I want to

  1. 01

    Automate a manual workflow

    For document reviews, approvals, support routing, operations checks, and back-office tasks.

  2. 02

    Build an AI copilot or RAG assistant

    For teams with policies, knowledge bases, documents, tickets, or institutional knowledge to search and act on.

  3. 03

    Launch a SaaS or internal platform

    For founders and business teams that need web, mobile, APIs, admin workflows, and cloud delivery.

  4. 04

    Make data usable for decisions

    For leaders who need dashboards, forecasting, alerts, data pipelines, and AI-ready datasets.

02Capability

Three practices, one delivery team.

01

AI & Machine Learning

Generative AI, RAG systems, agentic workflows, predictive models, computer vision, and NLP built for production use, not demos.

Run in production
  • LLM & Generative AI
  • AI Agents & Automation
  • Predictive Analytics
  • Computer Vision & NLP
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What we build — production AI stack
  1. ApplicationInterfaces, APIs, workflow surfaces
  2. OrchestrationAgents, tools, retrieval, guardrails
  3. ModelSelection, tuning, evaluation
  4. DataPipelines, contracts, indexes
Observability + SecurityTracing, drift, cost, access control — cross-cutting, not a final phase
02

Product & Software Engineering

Full-stack web and mobile products, SaaS platforms, APIs, and cloud infrastructure architected to grow with your business.

Run in production
  • Web & Mobile Applications
  • SaaS Platform Development
  • API & System Integration
  • Cloud Architecture & DevOps
Explore Services
CoinUp trading interface
03

Data & Intelligence Platforms

Turn raw operational data into dashboards, forecasts, and real-time intelligence that helps your team make better decisions.

Run in production
  • Data Engineering Pipelines
  • BI & Analytics Dashboards
  • Demand & Risk Forecasting
  • MLOps & Model Monitoring
Explore Data Services
What we build — data platform
  1. SourcesOperational systems, APIs, documents, events
  2. PipelinesAirflow, dbt — tested, scheduled, observable
  3. WarehouseSnowflake, BigQuery, PostgreSQL — modelled and governed
  4. ModelsDemand, risk and quality forecasts with monitoring
  5. ActivationDashboards, alerts and APIs where decisions are made
03Work

Built, shipped, in use.

CoinUp trading interface showing the BTC/USDT market view, order book and contract panel

CoinUp

Digital asset trading infrastructure — market discovery, spot and futures screens, portfolio visibility and mobile journeys, delivered as one product system rather than a set of screens.

Industry
FinTech
Stack
Web application, Mobile apps, API integrations
Role
Product experience, Trading workflow screens
Read the case study
Ekonty services marketplace showing the platform navigation, provider filters and live activity counters

Ekonty

An operational platform carrying jobs, services, marketplace and messaging in one shell — module navigation, provider filters, quote workflows and live counters built to hold together as the tenant grows.

Industry
SaaS
Stack
Responsive web platform, Admin screens, Workflow modules
Role
Platform UX, Business workflows
Read the case study
Also deliverediLytix School ERPOANDA ConverterPuntoSeguro
04Method

A production-firstmethod for AIproduct engineering.

The iLytix method starts with the workflow and business outcome, then designs the software, data, AI, cloud, and operating model needed to make the capability reliable after launch.

01Workflow firstMap users, decisions, approvals, data sources, and failure paths before recommending AI, automation, or custom software.
02Prototype with real constraintsValidate feasibility against real documents, integrations, latency expectations, permissions, and cost boundaries.
03Engineer for productionBuild APIs, applications, dashboards, model integrations, monitoring, access control, and deployment pipelines together.
04Evaluate and improveTrack usage, quality, errors, feedback, model behavior, and business outcomes so the system can improve after release.

Engineering beyond the prototype.

05Platforms

Partner ecosystems built on engineering foundations.

The platforms here are the ones we run in production for data, AI and cloud work — not a list of technologies we have read about.

Cloud
  • AWS
  • Google Cloud
  • Microsoft Azure
Data platform
  • Snowflake
  • Databricks
  • BigQuery
  • dbt
  • Airflow
  • PostgreSQL
AI / ML
  • OpenAI
  • Anthropic
  • Hugging Face
  • PyTorch
  • LangChain
  • Vertex AI
Run & observe
  • Kubernetes
  • Docker
  • Terraform
  • MLflow
  • Grafana
06Assurance

Answers ready before you ask for them.

Security posture, engagement terms and regional fit are settled during architecture, not after a contract is drafted.

Architecture discussions cover access control, data privacy, model-provider exposure, hosting choices, and audit-friendly workflows.

07Blog

All posts 25 posts on AI systems, data platforms, cloud and delivery.

Let's take it to production.

Send the workflow, the data problem, or the prototype that stalled. You will get a scoped starting point and an honest read on delivery risk within one business day.

Start the conversation

Or email sales@ilytixservices.com