Fig Logo

Reliable Decision-Making,Built from Your Business Data at AI Scale

Enterprises are running AI across every team — and can't trust what it produces without reliable insights from their business data. Fig is the context and governance layer that makes every decision, from every person and every AI agent, accurate, traceable, and consistent. So you get dependable outcomes at the scale AI now operates.

Snowflake

Data Warehouse

BigQuery

Data Platform

PostgreSQL

Database

Salesforce

CRM

HubSpot

Marketing

Stripe

Revenue

Shopify

E-commerce

Google Analytics

Analytics

Databricks

Lakehouse

Fig

Claude

OpenAI

Gemini

Salesforce MRR drop → Fig validates context → Claude executes → Finance alerted

Decision Made

Governed, consistent

Flow Triggered

Signal → Decide → Act

Team Notified

Right person, always

Connects to your entire data stack

SnowflakeBigQueryDatabricksRedshiftPostgreSQLMySQLStripeShopifySalesforceHubSpotGoogle AnalyticsFacebook AdsLinkedIn AdsMCP

Building an enterprise context layer?

Talk to us before you build.

The context layer that makes AI trustworthy is a deceptively deep problem — and it's our entire focus. Whether you're scoping it, mid-build, or evaluating vendors, spend 30 minutes with the engineers who've already mapped the terrain. We'll tell you what to build, what to buy, and where the landmines are — even if the answer isn't Fig.

No pitch, no SDR — a real architecture conversation with the people who built it.

We've built the hard parts

Causal metric graphs, cross-source entity resolution, governed definitions — the substrate most teams underestimate until month four.

Governance that survives AI agents

Policy, authority, and approval enforced at the data layer — not the prompt. The piece a context layer lives or dies on.

Model-agnostic by design

A substrate that gets better as models improve, instead of a hand-built ontology that a smarter model erodes.

Battle-tested patterns

We've made the expensive mistakes already — schema drift, double-counted metrics, ungoverned action — so you don't have to.

How the Outcomes Get Made

Every Answer, Backed by the Right Analysis

Ask Fig a question and it picks the right algorithm from 12 built in, runs it against your governed data, and returns a structured answer with evidence. Not a guess — a decision you can act on.

Strategic Analysis

Core algorithms for business-critical insights

Business Analysis Framework

9 specialized algorithms matched to your question

How Fig Delivers Reliable Outcomes

From scattered AI guesses to dependable outcomes — governed end to end, in three steps

1

Connect Your Data

Plug in Snowflake, BigQuery, Stripe, Shopify, Salesforce, or any of Fig's connectors. Fig reads your data sources automatically, resolves your business entities, and normalizes your data across sources.

2

Define and Govern

Fig automatically builds your metrics tree, entities, relationships, and rules — then lets your team enrich them with human knowledge. Once governed, every answer and every AI agent decides from the same approved context — so outcomes are consistent across the enterprise.

3

Decide and Automate

Fig applies your rules and proven outcomes to every answer, then automates recurring decisions: Signal → Decide → Act — governed end to end, so reliable outcomes scale without adding headcount.

Fig product demo videos

The Metric Relationship Tree. Built from Your Data.

Fig learns what drives what in your business — measured from your own history, not a generic template. When a number moves, trace it to its cause. When you set a goal, know which levers move it.

OUTCOMESTrailing MetricsPERFORMANCEIntermediate MetricsACTIONSLeading MetricsNet RevenueGross MarginCustomerLifetime ValueSalesAmountAvg OrderValueRevenue PerCustomerMarketingROIROASReturnRateCustomerCountTotalOrdersUnitsSoldBasketSizeRepeatPurchase RateMarketingSpendDiscountRateOrderCompletion RateLeading (What You Control)Intermediate (Performance)Trailing (Business Outcomes)Actionable levers at the bottom drive outcomes at the top

What Reliable AI Outcomes Look Like

100%

Consistent Across the Enterprise

One set of approved definitions and rules, enforced for every person and every AI agent. The same question returns the same answer — in every team, every tool, every time.

Every

Outcome You Can Stand Behind

Every answer shows the definitions, rules, and data behind it — so you can trust it, audit it, and defend it to the board. No black-box AI making calls you can't explain.

24/7

Problems Caught Before They Cost You

Anomalies detected and root-caused automatically, around the clock — issues surface and get traced to a cause before anyone files a ticket.

Zero

Institutional Knowledge Lost

Your rules, definitions, and causal model are codified and versioned — they scale with the organization and don't walk out the door when people do.

Healthcare Systems

Hospital Networks, Provider Groups, Payers.
Every Operational Metric
Connected and Monitored.

So that when production drops across a region, you trace it to reappointment rates or provider utilization in minutes — not weeks. Know which lever to pull before the quarter ends, not after — across every site.

METRICS

  • Production per provider
  • Collection rate
  • Reappointment rate
  • Case acceptance rate
  • AR aging buckets
  • Patient acquisition cost
  • Revenue per patient
  • Network retention rate

MONITORS

  • Same-day cancellation spike
  • Collection rate drop
  • Reappointment below threshold
  • Provider utilization decline
  • AR aging over 90 days

FORECASTS

  • Monthly production forecast
  • Patient volume projection
  • Revenue per provider trend
  • Network churn projection

Reliable Outcomes from Every AI Agent You Run

Fig's decision-making skill is one install away — for Claude, GPT, or any AI agent across your enterprise. Every agent decides from your business context, not generic guesses.

Every Agent, On Your Business Rules

Give any AI agent your approved definitions, policies, and causal model — so it produces decisions you can trust, not confident guesses from public knowledge.

One Skill, Governed for the Whole Org

Build it once in Fig. Every agent — sales bot, finance assistant, custom tool — shares the same governed context, so outcomes stay consistent as you scale AI across teams.

Automated Flows, Agent-Triggered

Agents trigger Fig Flows directly: Signal → Decide → Act — automated end to end, governed at every step, no human in the loop.

One skill. Every agent. Reliable outcomes — enforced everywhere.

Enterprise

Built for Enterprise Scale

Fig is deployed as governed infrastructure across your data, your teams, and every AI agent you run. Engagements are scoped to your data volume, your security requirements, and the outcomes you're accountable for — not a per-seat license.

Priced to Your Scale

Commercials scaled to your data volume, agent footprint, and usage — agreed up front, with no per-seat tax as your teams grow.

Enterprise Security & Compliance

SSO/SAML and SCIM provisioning, SOC 2, full audit logging, and deployment options that fit your environment and data-residency requirements.

Dedicated Onboarding & Migration

A technical account manager and a migration plan from day one — your sources, definitions, and existing models brought in with you.

Enterprise SLA & Support

Guaranteed response times, a named point of contact, and a support model your operations team can stand behind.

Governance at the Data Layer

Policy, authority, and approval enforced before any agent acts — not in the prompt. The control that makes AI outcomes safe at scale.

Custom Connectors & Templates

Your proprietary sources and industry-specific models, built in — so Fig fits how your enterprise already runs.

Bring reliable outcomes to your enterprise.

Tell us about your data, your teams, and the AI you're running. We'll scope an engagement — pricing, security review, and rollout — built for your scale.

Reliable Outcomes for Every Person and Every AI Agent — at Scale.

Join the waitlist, or talk to our team about bringing governed, dependable AI outcomes to your enterprise.