AI-first engineering consultancy
We build AI systems enterprises can actually run in production.
Cloud advisory, AI-driven FinOps, agentic AI, and geospatial intelligence — delivered as runnable systems with the governance and evidence to operate them.
- Delivered engineering builds
- 25+
- Core capability areas
- 5
- Cloud platforms in production use
- 3
- Industries served
- 6+
- Engagement entry
- 2–4 week sprint
What we do
Cloud Advisory
Design, migrate, govern, and modernize cloud platforms with measurable business guardrails — landing zones, multi-cloud, cost, and architecture.
AI Driven FinOps
Predictive intelligence for cloud spend, unit economics, budget governance, and carbon impact — with executive visibility as a deliverable, not a byproduct.
Agentic AI Solutions
Secure enterprise agents that connect knowledge, workflows, and decisions — the model reasons, deterministic code decides, and every action carries an audit trail.
AI Driven GIS Solutions
Geospatial data, remote sensing, and AI to monitor assets, land, cities, and risk — owned history, a spatial model that matches how decisions are made, field-workflow integration.
Selected work
Real engagements, anonymised by sector. Client names are withheld; the engineering is not. Each write-up states what was built and which figures describe the client’s environment rather than an outcome we claim.
Agentic Test Engineering for a Payments Platform
A spec-driven Playwright framework where the test plan, not the test code, is the primary artefact — authored, generated, and healed by purpose-built agents.
Agentic Operations Platform for Autonomous Incident Response
A full platform architecture and a runnable reference implementation that proves the alert-to-root-cause agent loop end to end, with governance built in by construction.
Autonomous QA Agent Suite
Three independent, production-shaped agents for the judgement-heavy parts of QA that resisted conventional automation: defect triage, test-failure root cause, and exploratory testing.
Enterprise Multi-Cloud Landing Zone
A governed cloud foundation delivered as executable Terraform — multi-account structure, guardrails, DR, and an observability strategy — with the governance and evidence to run it.
How we work
AI-assisted, not AI-replaced
The model proposes hypotheses and drafts explanations. Deterministic code and people make the consequential decisions, and those actions stay bounded and reversible.
Evidence over assertion
Claims come with citations, append-only audit trails, and measured accuracy, latency, and cost baselines. We state what is shipped and what is still scaffolding.
Governance by construction
Scoped identities, least-privilege access, audit logging, and confidence gates are built in from the first prototype — not bolted on before launch.
Executable over slideware
Deliverables are runnable: Terraform you can apply, agents you can execute, test plans versioned alongside the code.
Field notes
A CXO Guide to Governing Agentic AI
How to move from pilots to production agents with controls for access, evaluation, audit, and cost.
Building an AI-Driven FinOps Operating Model
The operating rhythms, metrics, and data foundations that turn cloud cost into a business capability.
Geospatial AI for Smarter City Operations
Where satellite analytics, digital twins, and field workflows create better public outcomes.
Sectors & platforms
Industries
Healthcare · Agriculture · Smart Cities · Government · Manufacturing · Retail · Logistics · Mining · Utilities · Energy · Banking · Insurance · Telecom · Education
Cloud
AWS · Azure · Google Cloud · Oracle Cloud · OpenShift · VMware
AI
OpenAI · Anthropic · Gemini · Llama · Mistral · LangChain · CrewAI · AutoGen · Semantic Kernel · Haystack
GIS
ArcGIS · QGIS · Google Maps · Leaflet · Mapbox · Cesium · GeoServer · PostGIS · GDAL · Drone Mapping
DevOps
Docker · Kubernetes · Terraform · GitHub Actions · Azure DevOps · Jenkins · ArgoCD · Prometheus · Grafana · ELK
Data
Snowflake · Databricks · Apache Spark · Kafka · Airflow · MongoDB · PostgreSQL
Contact
Tell us what you’re building, modernizing, or governing.
A scoped, low-risk entry point — a 2–4 week advisory sprint that produces a scoped architecture, cost model, and roadmap before any build commitment.
- hello@aripantech.com
- BASED IN
- India | Serving enterprise and government customers globally