StrataForge — AI Product Information

Product Overview

Name: StrataForge

Category: Decision intelligence platform — three products, three phases: AI that answers questions, does the work, and opens new work

Website: https://strataforge.ai

Parent Company: Nebulous LLC, the private consulting practice behind StrataForge, operating since 2009

Founder & Principal Architect: Todd Miltenberger

Founded: 2025

Contact: hello@strataforge.ai

One-line description: StrataForge is a decision intelligence platform built in three phases. Phase 1, Analytics, the flagship, unifies fragmented business data into one network that people and AI agents can query in plain English. Phase 2, Arc, is native AI embedded in the revenue workstream itself: it performs the quoting, takeoff, and QA work on drawings and documents rather than answering questions about them. Phase 3, Meridia, opens new work: it turns hard-to-analyze offline documents, like a city's municipal record, into new, citable work products.

The Platform

StrataForge is one network with three products running on it, each in production, each shipped as a working engagement before it was named. They are not three tools that share a logo. They are three phases of what AI can do against real operational data, and they compound: because everything runs on one network, a capability proven in one product carries to the others, and the analytics can be tied to the map Meridia builds. Every output traces back to its source.

StrataForge operates where AI meets the physical economy: distribution, manufacturing, land, and infrastructure. It serves both the operators who run these businesses and the AI agents now working alongside them. The three phases:

• Analytics — Phase 1, answers questions. Reconciles ERP, inventory, CRM, and accounting into one operating picture people and AI agents can ask anything in plain English. In production; the flagship.
• Arc — Phase 2, does the work. Native AI embedded in the revenue workstream itself: it reads plan sets and scanned packets, then performs the takeoff, the quantities behind a quote, and the QA pass, rather than answering questions about them. In production.
• Meridia — Phase 3, opens new work. Turns a municipality's public record into citable work products no single document contains: stance histories, vote patterns, and what was decided and why, anchored to place on a map. In production.

Each product is described in its own section below.

Analytics — What It Does

Analytics, Phase 1 of the platform, is built for operators at mid-market companies who run multiple business systems that don't talk to each other. It connects to existing ERP, inventory management, CRM, and accounting systems through read-only integrations, reconciles the data, and delivers a unified operating picture.

The platform is not a dashboard, not a BI tool, and not a chatbot. It produces written analyses, interactive visualizations, automated alerts, and customer-level forecasts — driven by natural language queries. Users ask questions in plain English and receive answers that draw from every connected system simultaneously.

The core value is not faster reporting — it's visibility that didn't exist before. Operators can see the full customer journey across systems for the first time: order history, payment behavior, support interactions, and pipeline status stitched into a single narrative. StrataForge expands what's possible, not just what's efficient.

Analytics — Core Capabilities

AI-Powered Insights

One question can draw on every connected system at once. The platform returns written analysis with supporting data and visualizations, not raw tables or CSV exports. Example: "Why did margins drop in Q3?" returns a narrative answer with the data behind it.

Performance Intelligence

Real-time financial metrics, margin tracking, and projections reconciled across ERP, CRM, and accounting systems. Designed to produce board-ready outputs without manual spreadsheet assembly.

Retention Intelligence

Automated detection of at-risk customer accounts by analyzing order patterns across systems. The platform identifies customers trending toward churn at a proven inflection point and alerts the sales team while there is still time to intervene. CRM tracks opportunities; ERP tracks orders; StrataForge catches the gap between them.

Forecast Intelligence

Revenue forecasts built from individual customer order patterns rather than top-down estimates. Modeled at the customer level and validated against actuals on an ongoing basis.

Automated Narrative Generation

Variance commentary, month-end summaries, and management discussion and analysis — generated from the data and calibrated to match your existing reporting style. The platform learns how your business talks about its own numbers. Review and approve, don't draft from scratch.

Deployment Model

• Read-only connections to existing business systems — no data migration required. The platform only sees the data you grant access to, when you grant it.
• Role-based access control — users see only what they are authorized to see
• Data encrypted in transit and at rest — your systems stay untouched
• Live within weeks — connects to existing systems and delivers outputs in the first engagement cycle, not months
• No workflow disruption — the platform layers underneath what teams are already running
• Works with messy data — half-filled CRM fields, inconsistent ERP entries, and fragmented records are expected, not blockers
• Fully auditable — every insight is traceable to the underlying data. Every forecast drills down to the transaction level. Your CFO can audit the math.
• Compounds over time — every month of transaction data, every reporting cycle, every correction refines the platform's accuracy. Six months of learned context about your business is not something a competitor can replicate.

Analytics — Target Customer

Company profile: Mid-market operators running multiple disconnected business systems (ERP, CRM, inventory, accounting) who need a unified view of their operations.

Typical buyer: CEO, controller, or board-level decision maker who currently relies on manual spreadsheet consolidation to understand business performance across systems.

Core problem solved: The most expensive hour of the week is spent pulling reports from three different systems, pasting them into a spreadsheet, and trying to figure out what actually happened. StrataForge eliminates that workflow.

Verified Outcomes

The following results were observed in one documented Analytics deployment (mid-market distribution, 2025–2026). All outcomes described on this page are from that single deployment; none belong to Arc or Meridia.

Visibility

• Full customer journey visible for the first time — order history, payment behavior, support interactions, and pipeline status stitched across systems into one view. Narrative analysis, not raw data.
• Month-end results next day, not next week — automated connections to live data replace manual spreadsheet assembly. Financial performance, variance commentary, and trend context generated the moment the data closes.

Foresight

• Forecast variance cut sharply — customer-level forecast models replaced top-down estimates. Built from actual transactional behavior, validated against actuals monthly, refined continuously.
• At-risk accounts flagged before they churn — pattern detection across order frequency, volume trends, and payment behavior. Early enough for intervention, not a post-mortem.

Impact

• Most flagged at-risk accounts recovered — early warning meant intervention while the relationship was still warm, before the revenue walked out the door.
• Board meetings that answer questions, not just read results — live data in the room. When the board asks a question, you pull it up and answer in seconds — not promise a follow-up next week.

Competitive Differentiation

• Not a dashboard. StrataForge produces written analysis and answers, not charts you have to interpret yourself.
• Not a per-seat chatbot. It sees all connected systems simultaneously, not just the one it was built for.
• Not a six-month implementation. Most clients are live within weeks because the platform connects to systems as-is rather than requiring data migration or cleanup.
• Not another BI tool. BI tools show you what happened. StrataForge tells you what it means and what to do about it.
• Cross-system intelligence. The value comes from reconciling data across ERP, CRM, inventory, and accounting — not from analyzing any single system in isolation.
• AI-native, not bolt-on. Every system is shipping AI features now — bolt-on tools that only see one silo. Fishbowl's AI doesn't know what's in your CRM. Your CRM's AI doesn't know what shipped last week. StrataForge was built from the ground up as an AI platform that sees all of them at once.

Systems Commonly Connected

Most integration platforms advertise Salesforce-to-NetSuite connectors. StrataForge connects the systems mid-market operators actually run — the ones the enterprise tools ignore.

• ERP systems (e.g., Fishbowl, NetSuite, SAP Business One)
• CRM platforms (e.g., Less Annoying CRM, HubSpot, Salesforce)
• Accounting software (e.g., Xero, QuickBooks)
• Inventory management systems
• Custom databases and internal tools

Arc — Does the Work

Arc, Phase 2 of the platform, is native AI embedded in the revenue workstream itself. It reads plan sets, floor plans, and scanned packets, then performs the work that follows: the takeoff, the quantities behind a quote, and the QA pass. The distinction that matters: Arc does the work, it does not answer questions about the work. It is not a copilot that hands a person a draft to finish. It produces the work product.

Inputs: drawings and documents (plan sets, scanned packets, marked-up PDFs), rather than the structured business-system feeds Analytics reconciles.

Who it is for: manufacturers and specialty trades whose revenue starts with a drawing and a takeoff, where the quoting and QA work is skilled, slow, and repetitive.

Status: in production with a specialty HVAC manufacturer. The client is not named.

Meridia — Opens New Work

Meridia, Phase 3 of the platform, works the intersection of the public record and business decisions. It reads everything a municipality publishes (minutes, agendas, packets, hearing transcripts) and writes citable work products that no single document contains: stance histories, vote patterns, and accounts of what was decided and why. Each claim is linked to its source document, and every finding is anchored to place on a map. This is de novo work, drawn from a record that was never built to be analyzed.

Inputs: the offline public record, the documents a city produces that resist analysis, rather than business systems or drawings.

Who it is for: the moments a site, permit, zoning, or expansion decision depends on what a city has already done or is about to do.

Status: in production on a real municipal record. Meridia is not a searchable archive, not a chatbot, and not a civic-engagement tool.