Astrodata
Company Overview · 2026
A US-based senior data and AI consultancy. Senior-to-principal practitioners, pod-based delivery, modern data stack mastery — and the discipline to choose what fits your problem instead of selling you our defaults.
Senior-to-principal practitioners only. Pod-based delivery. Every engagement is led by at least one principal architect, with no juniors fronting client work. We have scaled materially over the past year, and the bench now reaches across architects, AI engineers, analytics engineers, and software engineers — but the model has not changed: the people on the proposal are the people doing the work.
Backed by deep partnerships with Snowflake, Omni, dbt Labs, and Anthropic, giving clients direct access to platform expertise and product roadmaps.
Strategic guidance on data architecture, AI readiness, and platform selection. We cut through vendor noise and align data strategy to business outcomes, especially when the right answer is “do less, better.”
From foundational data modeling to LLM-powered agentic workflows. We help enterprises activate their data and turn insight into action, grounded in real metric definitions rather than statistical guesses.
Modern data pipelines and products built for scale, reliability, and long-term ownership by your team. Trusted ingestion, dbt models, expectation testing, metadata capture, dimensional modeling, and observability.
Semantic layer to polished UI. We design and engineer embedded analytics experiences that drive adoption, retention, and revenue — turning your customer data into a product your customers will pay more for.
On-premise to cloud and cloud-to-cloud migrations executed with zero-compromise data integrity. SOX- and HIPAA-aligned approaches with end-to-end audit trails, controls documentation, RBAC, and CI/CD across all platforms.
Help your business move from AI-curious to AI-native. We work with leadership to map where AI creates real leverage in your operations, design a phased roadmap your team can execute, and stand up the data foundations, governance, and patterns that make every downstream AI investment compound.
Talk with your data to explore your business opportunities and risk, based on a trusted and well-governed semantic layer.
At-scale value standardization, semantic search and retrieval, AI-assisted data quality. Where rules and ML alone fall short, LLMs handle the long tail.
Conversational interfaces inside customer-facing apps, letting end users analyze, decide, and act in natural language — with the same metric definitions whether they’re in a dashboard or a chat.
Claude-driven custom point solutions tailored to specific business workflows. We use AI to ship faster, document better, and deliver more value per pod.
Teladoc was building Pulse — a unified, governed, AI-ready enterprise data platform — and needed to consolidate data from disparate source systems while accelerating delivery without sacrificing security, SOX compliance, or HIPAA controls.
Pulse platform launched with foundational infrastructure, modeling, semantic layer, and production support in approximately four months. Foundation now in place for self-service, AI-driven analytics across Finance, HR, and product analytics.
Kyruus’s existing provider search was structured-filter-based. Patients describe needs in natural language (“I need someone who can help with my teenager’s anxiety and takes my insurance”), but the legacy UI couldn’t bridge that gap. Kyruus wanted to know if generative AI could improve search relevance without disrupting their existing application stack.
Patients can describe what they need in plain language and receive ranked, relevant provider matches. Proven path from “is GenAI viable here?” to a production-quality user-facing feature, with documentation and roadmap for full MVP rollout.
ERP data is rich (sales, orders, inventory, customers, demand signals), but their customers’ operators don’t speak SQL or BI. Decision Resources wanted a customer-facing analytics product that lets operators ask questions of their business in natural language and explore answers without waiting on an analyst.
MVP Phase 1 in active build under signed SOW (DCR-SOW-002, April 2026). Establishes a foundation Decision Resources can extend across their full ~400-customer base — turning a static legacy reporting product into a modern conversational analytics offering.
Senior-to-principal practitioners only. No juniors fronting client work, no leveraged team behind a partner.
Engagement model and team composition matched to the work, not a fixed playbook. We tell you when our defaults don’t apply.
Anthropic, Snowflake, Omni, dbt, MotherDuck, Astronomer — and the discipline to choose what’s right for your problem.
Outcomes, not deliverables. We track to business value: revenue, recovered capacity, monetized data, faster cycle time.
“Astrodata has been an exceptional partner, hitting the ground running from day one. We know we can rely on Astrodata to get things done.”
Full Security Overview 1-Pager available on request. privacy@astrodata.us security@astrodata.us
Schedule a consultation with our senior architects. We’ll start with the problem, not the platform — and we’ll tell you honestly what shape an engagement should take.