Enterprises don't have a data problem
They have an access problem. The systems holding the data that matters — SAP, Oracle, Salesforce, NetSuite, a decade of internal APIs — were never built to answer a question posed in English, and most "AI transformation" stalls trying to replatform around that gap. The data isn't missing. It's unreachable.
Replacing those systems is the expensive answer, and usually the wrong one. So we wrap them instead: every API becomes a tool any model can call, every document becomes an answer with a citation attached. Nothing migrates, and adopting a new model later costs you a config change rather than another integration.
Once you look at it that way, the same problem shows up without any AI involved. An asset nobody can trace to the order that bought it, or a customer whose support history lives in a different tool from their pipeline, is the same data sitting out of reach. That's why procurement, assets and the pipeline are one tenant here rather than three products you integrate later.
Three products, one tenant, one login
Run one or run all three. They share a workspace, so turning another on is a setting rather than an integration project.
What you can hire us for
Licensing the software is rarely the hard part — the connection to what you already run is. We take that on as an engagement rather than leaving it as your integration backlog.
Legacy System AI Enablement
Bring AI to the systems you already run. We wrap legacy ERPs, CRMs, mainframes and internal APIs in an intelligent layer — no rip-and-replace, no re-platforming.
MCP Server Implementation
Turn your existing APIs into Model Context Protocol tools — instantly usable from Claude, ChatGPT, Cursor and any MCP-compatible client with role-based access control built in.
Enterprise Knowledge Base & RAG
Ingest documents, wikis, SharePoint and databases into a grounded, cited knowledge layer so your assistant answers from your truth not the model's guess.
AI Agent & Workflow Engineering
Custom agents, tool orchestration and Form, Table & Chart-driven workflows built on Artificial Wit AI to automate the work that ties your systems together.
Asset Management Implementation
Configure procurement end to end — approval chains, number series, vendors, categories and locations — then load your existing asset register with its depreciation history so the trail starts complete rather than from today.
CRM Implementation
Model your pipelines and stages the way your team actually sells, migrate leads, accounts, contacts and open deals across, and set up the forecasting and dashboards your pipeline reviews run on.
Mobile App Development
Native companion apps for Asset Management and CRM, so approvals, asset lookups and pipeline updates aren't tied to a desktop. Built in-house; not yet on the public app stores, ask us about availability for your rollout.
What we believe
An answer you can check
A confident wrong answer is worse than no answer. Retrieval carries source documents, similarity scores and reference numbers; procurement and asset records carry the document trail that produced them. Either way you can see the working.
See how RAG grounds enterprise data →Boring where it counts
Approvals, three-way matching, depreciation schedules and stage history aren't glamorous, and they're exactly what an auditor asks for. We'd rather ship the unexciting parts properly than demo the interesting ones.
See how the audit trail works →No lock-in, by construction
Model-agnostic through MCP, so Claude, ChatGPT and Gemini all read the same tools. Your systems of record stay where they are, and your data stays queryable by whatever you adopt next.
See the MCP server →Honest about the gaps
Stock balances aren't tracked, SLA escalation doesn't chase itself, meter-based maintenance won't generate a schedule. Every one of those is written on the product page rather than left for you to discover. You should know what something can't do before you buy it, not after.
See what Asset Management doesn't do →Curious how we handle security and data? See our security practices, or talk to us directly.
Industries we serve
The same AI-enablement layer, applied to what each industry runs on today — no migration required.
Manufacturing
Natural-language queries against SAP, Oracle or Dynamics ERP data exception handling and reporting without a migration project.
See how AI-enabling a legacy ERP works →Retail
Catalog Q&A, order lookups and merchandising assistants built on your real product and order data via MCP.
See how AI order lookup works →Health Care
Grounded, permission-aware AI search across clinical docs and internal systems — every answer cited, access control respected.
See how RAG grounds enterprise search →