WarehouseSnowflake, BigQuery, PostgreSQL — modelled and governed
ModelsDemand, risk and quality forecasts with monitoring
ActivationDashboards, alerts and APIs where decisions are made
03Work
Built,shipped,inuse.
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.
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
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
Partnerecosystemsbuiltonengineeringfoundations.
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
Answersreadybeforeyouaskforthem.
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.
Four ways to work together: a discovery sprint to settle scope and risk, a fixed-scope build with milestone delivery, a dedicated team inside your delivery rhythm, or support and scale after launch. Each can move to the next.
Delivery planning accounts for India cost awareness, US governance expectations, Middle East enterprise workflows, and global localization needs.
All posts →25 posts on AI systems, data platforms, cloud and delivery.
Let'stakeittoproduction.
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.
