Services in detail

You've outgrown the spreadsheets, the legacy warehouse, or the ETL stack a vendor installed five years ago. Reports take days, engineers babysit pipelines, analysts don't trust the numbers. We move you onto a modern cloud-native platform without breaking the reports leadership runs every Monday.

Where we plug in

Audit your current state, design the target architecture, run the migration in parallel & cut over once the new system produces the same or better answers than the old one.

Deliverables

• Architecture diagram & migration plan
• Cloud warehouse stood up (Snowflake / BigQuery / Databricks)
• Pipeline rebuild (Fivetran / Airbyte / custom)
• dbt project with tested, documented models
• Parallel-run validation & cutover
• Runbooks, alerting & on-call handoff

Typical engagement

8–16 weeks. Fixed scope, fixed budget, weekly demos.

Raw data isn't useful until it's transformed, documented & tested. We build the pipelines and models that get your data reliable enough that an analyst can ship a number without cross-checking five sources first.

Where we plug in

You have data but no one trusts it. Numbers disagree across reports. New analysts take months to onboard because the schema is undocumented and the joins live in someone's head. We build the layer that fixes that.

Deliverables

• Source-of-truth dimensional models
• Tested, documented dbt project
• Semantic / metrics layer
• Internal data catalog & lineage
• Data quality & freshness monitoring
• API endpoints for downstream apps

Typical engagement

6–12 weeks. Often runs in parallel with modernization or analytics work.

BI projects usually fail for reasons that have nothing to do with the tool. Metrics weren't defined. Data wasn't trusted. Dashboards answered questions nobody actually asks. We start with the decisions your team needs to make and work backward to what should be in front of them.

Where we plug in

You have Tableau / Looker / Power BI but nobody trusts it. Or the CFO is still asking analysts for one-off SQL pulls. Or you're spinning up a new function and need executive-grade reporting from day one.

Deliverables

• Metric definitions & KPI tree
• Executive & operational dashboards
• Self-serve explore layer for analysts
• Embedded analytics (for SaaS products)
• Training & enablement for your team
• Governance & access patterns

Typical engagement

4–10 weeks per scope. Often the most visible deliverable in a larger engagement.

The expensive mistakes get made before a line of code is written. We help leaders work through the architecture, vendor, build-vs-buy & org decisions that determine whether the next two years of investment actually pay off.

Where we plug in

You're planning a major platform investment, an AI initiative, a re-org, or a build-vs-buy call. You want an independent voice that's seen this play out before. We don't resell tools or take vendor referrals, so the recommendation you get is the recommendation.

Deliverables

• Current-state audit & gap analysis
• Target-state architecture & roadmap
• Build-vs-buy recommendations
• Org & hiring plan for data / analytics
• Budget model & ROI projections
• Risk register & sequencing plan

Typical engagement

2–6 weeks. Often the prelude to a larger build, sometimes a standalone diagnostic.

Most companies have a long list of AI ideas and zero AI in production. We help you pick the use cases that move a metric you care about, build the systems end-to-end & instrument them so you can tell whether they're working. The deliverable is a production system, not a slide deck.

Where we plug in

You've experimented with ChatGPT or Claude internally but nothing has made it into your product or workflows. Or you shipped an AI feature and the impact metrics look mushy. Or you need an internal AI tool that can read your data, docs & operational systems without leaking anything outside the org.

What we ship

• AI opportunity audits with prioritization
• RAG systems over internal knowledge bases
• LLM-powered reporting & metric APIs
• Agentic workflows & automation
• Internal AI tools for ops, sales, support
• Evals, observability & cost controls
• AI-augmented analytics & insight generation
• Model selection & integration strategy

A recent example

For an EdTech client we're building a reporting API that delivers near-real-time sales and customer metrics, alongside AI-driven analysis of employee performance. Phase one shipped in weeks and is already changing how the leadership team runs its weekly business reviews.

Typical engagement

4–16 weeks depending on scope. We always start with an audit plus prototype before committing to a full build.