Technology-agnostic. Not technology-indifferent.
Core technologies
We don't sell software. No vendor pays us to put their logo on this page. We pick the right tool for the right problem, and we'll tell you when the boring option beats the shiny one.
Below is a shortlist: the platforms, frameworks, and libraries we reach for most. Battle-tested in real client environments, not plucked from a conference keynote. It's not exhaustive. If your stack runs on something we haven't listed, we'll work with what you have. If what you have isn't working, we'll tell you that too.
Cloud platforms
The foundation everything runs on. We pick the cloud that fits your existing ecosystem, not the one with the biggest conference booth.
Microsoft Azure
Compute, storage, security, deployment. One ecosystem, end to end.
Amazon Web Services (AWS)
Supported for clients running on the AWS stack, including S3, Redshift, and SageMaker.
Google cloud platform
A fast, scalable alternative for clients in the Google ecosystem, with BigQuery as its SQL-first analytics powerhouse.
Data platforms
Where your data lives, gets structured, and becomes queryable. The choice here shapes everything downstream
Databricks
One environment for data engineering, analytics, and machine learning, built on open standards.
Snowflake
A cloud data warehouse that pairs well with dbt for clients who want a clean, modular modern data stack.
Microsoft Fabric
Microsoft's unified SaaS analytics platform that brings together data integration, warehousing, and Power BI under one roof.
Large Language Models & Generative AI
Using foundation models like GPT and Claude as components inside larger systems: extraction, summarization, chat, document understanding.
OpenAI (GPT)
Used in chatbot, RAG, and content generation applications where the OpenAI ecosystem fits the client's stack.
Anthropic (Claude)
Our primary LLM for structured extraction, document processing, and building intelligent automation workflows.
Azure Copilot
Enterprise-grade access to GPT models within Azure's security perimeter, for clients with strict data residency requirements.
Google Gemini
The go to choice for those who are deeply embedded in the google ecosystem
Mistral
The European contender in the genAI race, an especially suitable choice for sensitive information
Business Intelligence & Visualization
The layer people actually see. Dashboards, reports, and interactive analytics that turn data into decisions
PowerBI
Our primary BI tool. Semantic models, DAX, and Direct Lake mode for dashboards that people actually open on Monday morning.
Tableau
Visual analytics for clients with existing Tableau investments.
Qlik
Associative analytics engine, supported for clients with existing Qlik deployments.
Looker
BI and data exploration for organizations in the Google Cloud ecosystem.
Plotly / Dash
Python-native interactive visualizations for analytics applications that go beyond what a dashboard tool can do.
AI Agents & Agentic Automation
AI that does not just answer questions but takes actions: multi-step reasoning, tool use, and autonomous workflows with human oversight where it matters.
LangChain / LangGraph
The most widely adopted framework for building LLM-powered agents. LangGraph adds stateful, graph-based orchestration for complex multi-step workflows that need explicit control over every decision point.
N8N
Visual workflow automation with native AI agent capabilities. Lets non-developers build and manage agentic workflows through a drag-and-drop interface, self-hostable for full data control.
MCP (Model Context Protocol)
Anthropic's open standard for connecting AI agents to external tools and data sources. Becoming the default interoperability layer for agent systems in 2026.
CrewAI
Role-based multi-agent framework where AI agents work as a team, each with a defined role and expertise. Fast to prototype, intuitive to reason about.
AI Gateways & Model Management
A control layer between your applications and the LLMs they call. Routing, cost tracking, rate limiting, fallback logic, and keeping your API spend from becoming a surprise.
LiteLLM
Open-source proxy that gives you a single API interface to 100+ LLM providers. Switch models, set budgets, and add fallbacks without changing application code.
Portkey
AI gateway with built-in observability, caching, and guardrails. Routes requests across providers, tracks cost per call, and enforces rate limits.
LangSmith
LangChain's observability platform for tracing, evaluating, and debugging LLM calls and agent workflows in production.
Data Engineering & Transformation
The plumbing. Getting data from where it is to where it needs to be, cleaned, tested, and on time
Apache Kafka
Distributed event streaming platform for building real-time data pipelines and feeding live data into analytics and AI systems.
dbt (data build tool)
Our go-to transformation framework: SQL-based, version-controlled, testable, and the cleanest way to own the "T" in ELT.
Data Governance & Quality
Knowing what data you have, where it came from, who can see it, and whether you can trust it
Microsoft Purview
Data cataloging, lineage tracking, and compliance management for organizations that need to know what data they have and who can access it.
Great Expectations
Open-source data quality testing: automated validation rules that catch bad data before it reaches a dashboard or model.
Data Applications & Interfaces
When a dashboard is not enough. Interactive tools, approval flows, and lightweight apps that let users do things with data, not just look at it.
Streamlit
Lightweight Python apps for demand planning approvals, optimization interfaces, and what-if scenario tools.
Power Platform / Powerapps
Low-code application building within the Microsoft ecosystem for client-facing tools and workflows.
FastAPI
Python API framework for deploying ML models and optimization engines as production-ready web services.
Lovable
Up and coming low-code prototype building (and sometimes a bit more than a prototype)