x

    Enterprise AI engineering that doesn't stop at the prototype.

    Most AI programs stall between pilot and production. We close that gap — with a platform that's 80% pre-built, engineers embedded at your site, and a diagnostic that tells you exactly where to start.

    Enterprise AI
    850+
    man-years of data
    engineering
    80%
    Platform pre-built
    12wk
    From pilot decision to
    go/no-go
    15+
    Industry & Technology
    Accelerators
    The four problems CDOs bring us

    Each one is fixable. Here's how.

    01
    The problem
    We don't know if our data is actually ready for AI.
    Our answer
    The TERRAIN Assessment evaluates your data across six dimensions, assigns maturity scores, and produces a prioritized roadmap — not a slide deck with vague next steps.
    02
    The problem
    We keep running pilots, but nobody can tell us if any of them are actually worth scaling.
    Our answer
    The FORGE Pilot Factory runs a 12-week, production-representative pilot with a go/no-go decision at the end. Real data. Real users. Code built for scale from day one.
    03
    The problem
    Our pilot worked. Getting it into production is where it dies.
    Our answer
    Forward Deployment AI Engineering puts our engineers inside your environment to ship production code, not decks. The winning pilot becomes a live system your team runs.
    04
    The problem
    Every new use case means building from scratch while competitors already run.
    Our answer
    The 1Platform lands 80 to 90% pre-built on Fabric, Databricks, and Azure. What takes 10 months by hand takes 2 to 3, so wins compound into P&L results, fast.
    Runs on Fabric · Databricks · Azure
    Meet 1Platform

    Your data foundation, intelligence apps, and document engine - pre-built for faster ROI

    Studio Apps
    Build and move your data foundation. Pre-built schemas, KPIs, and transformation layers stand up a platform in months. A code-gen engine migrates estates across clouds.
    • Foundation Studio - Migration Studio
    Studio Apps
    PulseSuite
    Outcome based apps for decisions. No bespoke builds, no prompt engineering from scratch. Each app is pre-configured for its vertical, ships with named actions
    • PromoPulse
    • PricePulse
    • CapitalPulse
    PulseSuite
    Prism Engine
    Intelligence app from any documents. Prism converts your unstructured documents (contracts, clinical notes, research, emails) into a knowledge graph, then surfaces that graph as a queryable intelligence layer
    Prism Engine
    From AI-ready to AI-running. Five stages. No gaps.

    Each stage has a defined scope, a fixed deliverable, and a clear handoff to the next.

    Stage 01 • Know
    TERRAIN Assessment
    2-4 Weeks

    A scored diagnostic across 6 data dimensions — before a dollar is committed to AI. Tells you exactly where you stand and what needs to happen before a pilot starts.

    Deliverable AI Readiness Scorecard + Roadmap
    • Maturity score across 6 dimensions
    • Go/no-go for up to 3 use cases
    • Prioritized investment roadmap
    • Risk articulation for leadership
    Stage 02 • Plan
    VECTOR Strategy & Roadmap
    3-5 weeks

    Turns TERRAIN findings into a phased AI roadmap tied to your business KPIs. Use cases scored and prioritized. A plan your CFO can underwrite — not a slide with vague next steps.

    Deliverable Phased AI Roadmap with ROI estimates
    • Use case portfolio with ROI per case
    • 0-6 / 6-18 / 18+ month phased plan
    • Tech & architecture strategy
    • AI governance framework
    Stage 03 • Prove
    FORGE Pilot Factory
    12 Weeks

    A 6-stage pilot on real production data, real users, and a go/no-go decision at the end. Not a demo. Not a sanitized proof of concept. A number your leadership can act on.

    Deliverable Go/No-Go Decision Memo + Scale Roadmap
    • Working AI system by week 6
    • Performance vs. baseline report
    • TCO model + production scorecard
    • Fixed price. No T&M exposure.
    Stage 04 • Build
    Forward Deployment AI Engineering
    Custom scope

    Our engineers inside your environment, building production AI in your systems. No offshore handoff. No deliverables sent over email. Code exists in your environment from day one.

    Deliverable Production AI System + Knowledge Transfer
    • Production-grade AI in your stack
    • MLOps / LLMOps pipelines built in
    • Security and compliance from day one
    • Full knowledge transfer on exit
    Stage 05 • Run
    AI Ops & Governance
    Ongoing

    Production AI degrades without operations. Model drift, cost overruns, and compliance gaps compound quietly. AI Ops keeps the system performing and the governance team covered.

    Deliverable Live AI Operations + Governance Coverage
    • Model performance monitoring
    • Drift detection and cost control
    • Bias testing and audit trails
    • Change management and adoption metrics

    Each stage has a defined scope, a fixed deliverable, and a clear handoff to the next.

    Pre-built for the industries we know cold

    Each vertical has a named product. Not a service offering with "extensive experience in." A product you can see.

    • CPG / RGM
    • Finance & Working Capital
    • Wealth Management
    • Life Sciences
    Revenue Growth Management, decision-ready out of the box

    CPG companies running RGM programs spend months building pricing and promo analytics from scratch. Profit Pulse ships with the model, KPIs, and decision logic pre-built — on your data, in 2-3 months.

    2-3 month

    From data connection to pricing decisions surfaced

    • Profit Pulse
      Pricing optimization across SKUs, geographies, and channels — with elasticity models pre-built and ready to tune.
    • PromoPulse
      Promotion analytics that surfaces what's working, what's cannibalizing, and where the next dollar should go.
    • PricePulse
      AI-powered pricing intelligence that tells exactly where to price, by how much, and what the margin impact will be.
    Working capital intelligence that moves at finance speed

    Finance teams waste analyst hours on AR aging reports that still don't tell them what to do next. Capital Pulse surfaces the action - collect this, defer that, release this inventory - not the data behind it.

    O2C + P2P

    Both sides of the cash conversion cycle, one platform

    • O2C Pulse
      Receivables intelligence — aging, collection priority, dispute flagging, and DSO forecasting in one view.
    • P2P Pulse
      Payables optimization — early payment discount capture, supplier risk signals, and DPO management.
    • Inventory Pulse
      Inventory intelligence across the supply chain — overstock, understock, and cash-tied-up flags surfaced automatically.
    AI for RIA and wealth management teams

    Wealth management firms sit on client data that could drive proactive advice — and most of it sits in disconnected systems. Wealth Pulse connects the estate and surfaces the next conversation, not the next report.

    AUM + Risk

    Portfolio intelligence and client engagement signals, unified

    • Portfolio Intelligence
      Risk exposure, concentration flags, and rebalancing signals — surfaced proactively, not after the client calls.
    • Client Engagement Signals
      Identifies clients at risk of attrition, clients ready for new products, and events that should trigger an advisor outreach.
    • Compliance & Audit
      Regulatory reporting, suitability flags, & audit trail generation — automated, not assembled manually each quarter.
    HCP Pulse
    Commercial analytics for life sciences teams

    Life sciences commercial teams need to know which HCPs are most likely to prescribe, which reps are covering the right accounts, and where territory white space exists. HCP Pulse answers those questions from day one.

    HCP + Territory

    Prescriber intelligence and field force optimization in one platform

    • HCP Targeting
      Prescriber segmentation, reach & frequency optimization, & next-best-action for field reps — built on real claims & call data.
    • Territory Intelligence
      Territory alignment, white space identification, & workload balance -updated dynamically, not in the annual planning cycle.
    • Omnichannel Engagement
      Coordinates rep, digital, & medical affairs touchpoints so HCPs aren't hit by three channels with the same message the same week.
    Find out where your AI program actually stands

    An immediate AI readiness score across the six TERRAIN dimensions — plus your top three gaps and where to start in just 3 mins

    Enterprise AI Readiness Check
    Answer honestly. The score is only useful if it's accurate.
    Question 1 of 14
    Live readiness score
    Overall Score
    Dimensions

    A full scored TERRAIN report plus a 30-minute strategy call to walk through your results.

    Get expert eyes on your TERRAIN report
    Please enter your name.
    Please enter a valid work email.
    Please enter your company.
    Please enter your phone number.
    What you don't get from the big firms

    Structural differences that determine whether an AI program ships or not

    icon
    Engineers in your environment, not in ours

    Forward Deployment AI Engineering means our engineers sit inside your systems and build production code there. No offshore handoff. No "we'll send the deliverables end of month." The code exists in your environment from day one.

    icon
    12 weeks to a production-grade decision, not a pilot deck

    FORGE ends with a go/no-go memo backed by real performance data vs. your actual baseline. Not a PowerPoint with "promising results." A number your CFO can underwrite or kill.

    icon
    A platform that arrives 80% done

    Studio, Pulse, and Prism are products, not project deliverables. They ship with schemas, KPI logic, and transformation layers pre-built from 15 years of implementations. You're not starting from a blank Databricks workspace.

    icon
    Fixed price. Clear scope. No T&M exposure.

    Every FORGE engagement has a defined scope and a fixed price. You know what you're buying before you sign. If the pilot says no-go, you get the full lessons-learned report and you don't owe us another dollar.

    Capability
    Pre-built platform (not built from scratch)
    Forward Deployment Engineering model
    Go/no-go pilot with fixed price and defined scope
    Industry-native products (not generic AI templates)
    TERRAIN diagnostic before a dollar is committed
    Polestar Analytics
    Big 4 / SI
    Boutique
    Our latest thinking
    Talk to our Experts