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NEWWoodfrog joins the Claude Partner Network at launch.
Data · Analytics · AI
Anthropic Build Partner

From data to decisions.Engineered.

We turn 240-dashboard estates into 8 that ship decisions. Governance you can audit. AI agents that measure their own ROI. For companies that can't afford to guess.

Live
Unified Data Platform
Antvia · Lineage + PII coverage for audit
See the data layer
Anthropic Build Partner

Production AI, built on Claude.

We build agents and applications directly on Anthropic's Claude models , no reseller layer, no toy demos. A working relationship that gives our customers early access, model-selection guidance, and production patterns that pass an audit on day one.

  • Direct
    Working partnership, not a reseller chain.
  • Audited
    Lineage, confidence scores, kill switches on every agent.
  • Calibrated
    Sonnet · Opus · Haiku chosen per workload, not by hype.
See AI in production
Build Partner · 2026
If this sounds like your stack

Most data work doesn't ship a decision.
We fix that.

240 dashboards no one opens
8 boards your leaders actually use
3-week decision cycles
8 minutes, with the audit trail attached
AI pilots that stall in proof-of-concept
Production agents that measure their own ROI

Same data. Less noise. Better decisions.

Trusted by

corethink
Design_Asylum
StockJarvis
Client 4
Client 5
Client 6
Client 7
Client 8
and many more
Selected work

Decisions, delivered.

A few engagements we're proud of. Full case studies on request.

Fintech·Superset Analytics · Pipeline
8 weeks
time to first decision dashboard

Replaced a six-figure BI licence with a tuned Superset stack

Migrated a 240-dashboard estate to embedded Superset. 240 boards → 8. Saved $420k in seat fees, year one.

See how we shipped it
Retail · APAC·Data Engineering · AI Agent
+2.4pp
APAC margin recovered, 90 days

Found the logistics leak the dashboard never showed

A margin agent flagged a fuel-surcharge anomaly two weeks before close. $2.8M run-rate recovered. RFP triggered the same day.

See how we shipped it
B2B SaaS·Custom Analytics · AI Governance
4.6 → 4.8
enterprise CSAT in one quarter

Turned account managers from reactive to proactive

Persona-driven Glimvia views, signal-pattern detection, an account-review queue everyone uses. 3 saves, $480k ARR retained.

See how we shipped it
Public Sector·AI Governance · Helpdesk
0 audit gaps
across 14 production agents

Shipped AI agents the audit team approved on day one

Lineage, policy checks, an on-call governance pod. Production rollouts now ship the same week as their review.

See how we shipped it

Named studies available under NDA. Talk to us about your shape.

How we work

Three weeks in, you've shipped something.
That's the deal.

Week 1
Free
01

Audit.

Free. Two calls. We map your current data estate, your top 3 decisions, and where the friction lives. You walk away with a written one-pager whether or not we work together.

Weeks 2 – 8
02

Ship.

A small pod (engineer + analyst + PM) ships your first decision board, your first agent, or your first governed dataset, depending on what the audit surfaced. You see something working by Week 3.

Week 9+
03

Operate.

Quarterly reviews, on-call governance, agent maintenance. We stay where we add weight. We leave when you’re stronger without us.

Fixed scope. Fixed price. Decisions shipped on a calendar, not a roadmap.

How we work

See no bad data. Hear no noise. Speak no spin.

Woodfrog mascot, See no bad data

See no bad data

Validated at every step. Lineage you can audit, quality checked at source.

Woodfrog mascot, Hear no noise

Hear no noise

Signal over noise. We surface the numbers that move a decision, not vanity metrics.

Woodfrog mascot, Speak no spin

Speak no spin

Honest reporting. Every claim carries its evidence, even when the answer is no.

What we ship

Three pillars. One thesis:
decisions get engineered.

Pipeline · Catalog · Quality · Governance

Data.

The unglamorous layer that decides whether everything above it is trustable. Bronze → Silver → Gold medallion, dbt + Airflow + Databricks, lineage you can audit, PII masked at source.

Includes
Data ManagementData AggregationData EngineeringGovernanceHelpdesk
See the data layer
Decision-grade dashboards · Charts a CFO recognises

Analytics.

Glimvia-backed boards calibrated to how leaders actually call shots. Margin variance waterfalls, pipeline Sankeys, AI annotations that point at the cause.

Includes
SupersetCustom AnalyticsData ApplicationsVisualization
See the analytics
Signals · Adopted · Measured

AI.

Not chatbots. AI agents and applications built on Anthropic’s Claude, with lineage, confidence scores and kill switches on every signal. We are an Anthropic Build Partner, so model choice and production patterns come from the source.

Includes
AI Agents (Claude)AI ApplicationsAutomationAnthropic Build Partner
See AI in production

Three pillars. Data management, aggregation, applications, automation, AI agents, one calibrated delivery model.

Built, not just shipped

Three products. Each born from a delivery.

We met the same problem at three different customers, three different times. We turned the answer into a product. These are the ones you can buy without hiring us.

No products found

Why us

Three things most of our competitors won't tell you.

If “trusted advisor” sounds like a euphemism for “open-ended retainer”, we're not that.

01

We measure our own ROI.

Every engagement carries a measured outcome, saved dollars, recovered margin, hours avoided. You see it in your CFO’s report, not just our case study.

02

We ship in weeks, not slides.

No 12-week strategy phase. By Week 3 something is in production. By Week 8 it’s measuring its own impact. Fixed scope. Fixed price.

03

We leave when you’re stronger.

We don’t run a staffing business. Our retention model is governance + on-call, not bodies-on-seats. When your team can fly solo, we step back.

Asked, answered

FAQ.

Here are some of our most asked questions. If yours is not there, contact us.

No. Our smallest current customer is 38 people. The 240-dashboard estates appear at every scale, we resize the engagement, not the rigour. Mid-market engagements typically run 6–10 weeks at fixed scope.

AI Assistant
More question?Talk to us
Ready when you are

Decisions don't engineer themselves.
Let's start.

Book a 30-min audit. We'll show you your three highest-ROI decisions and what it would take to ship them. You leave with a one-pager. Whether or not we work together.

20+ companies·Claude Partner Network·Pune + APAC·NDA-friendly·Fixed scope · Fixed price