PRODUCTS & ACCELERATORS
Built by Plainsight
Products, not custom projects: ready to use, proven in daily work, and predictable to budget. We build them when we keep seeing the same need, and we run every one of them ourselves. The badge on each card tells you what you're looking at: a product you licence, a planner that's free to use, or a delivery framework our experts bring.
The assistant stack
One governed assistant your whole company can use, with the knowledge engine already inside it. Ask about a procedure and the answer comes back with the paragraph it came from, and only from documents that person may open. One package, one price.
AI Assistant
One governed chat platform for the whole company, in an environment that is yours alone: your cloud, your servers, or our EU infrastructure. It knows your documents, so an answer about a policy comes back with the paragraph it came from. Each department gets its own isolated environment, its own knowledge base, and the model that fits best. Flat platform pricing, no per-seat licences.
- Answers cite their source, and respect each person's permissions
- Isolated department environments with own knowledge bases
- Any LLM per department, switch providers any time
- Runs on Azure, Google Cloud, AWS, on-prem, or our own EU infrastructure
What you buy, and what you can connect to it
The knowledge engine comes inside the assistant. The Plainsight Brain does not: it is its own thing, and it plugs into whichever assistants your people already open.
Want the engine that makes the answers cited and permission-aware? That is Nexora, the knowledge-base engine we built ourselves, and it comes inside the assistant. Separately, you can connect the Plainsight Brain to this assistant or to any other one your people use.
Data platform tools
Two products that keep your platform trustworthy in daily use, and two free planners to design a compliant rollout.
Workbook Connect
Your master data, easily managed with Excel. A lightweight add-in that lets business users browse, edit and publish data straight from the tool they already know.
- Excel add-in, familiar for business users
- Azure SQL, SQL Server, Fabric Warehouse and Fabric SQL
- Key lookups, change tracking and validation built in
Data Quality Manager
Data quality on Databricks without the heavy lifting. Define, run and monitor validation rules against your Unity Catalog tables from a browser, no code required.
- Visual editor with 27+ built-in checks
- Runs as a Databricks Job, results on a live dashboard
- Alerts via Teams and email, data never leaves your workspace
Fabric Rollout Planner
Plan a compliant Microsoft Fabric rollout in minutes, not months. Eight questions in, Terraform, CI/CD pipelines, compliance docs and a rollout explorer out.
- Eight-phase interview, adapts to your answers
- Terraform HCL, CI/CD pipelines, compliance docs
- 20+ frameworks: GDPR, DORA, NIS2, ISO 27001, EU AI Act, more
Databricks Rollout Planner
The same eight-question interview, tuned for Databricks. Terraform for workspaces and Unity Catalog, CI/CD, and a compliance justification doc, in about five minutes.
- Eight-phase interview, adapts to your answers
- Terraform for workspaces and Unity Catalog, CI/CD
- 20+ frameworks: GDPR, DORA, NIS2, ISO 27001, EU AI Act, more
Modernisation
Not something you install. A framework our experts bring along when a legacy estate needs to move.
AI-Driven Migration
Autonomous in the loop, accountable at the gates. A fleet of 23 specialised agents documents your legacy SSIS, Azure Data Factory, Synapse and T-SQL estate, designs the target, then builds, tests and operates it on Microsoft Fabric or Databricks. You don't install this one: it arrives with our experts, who stay in charge where it counts.
- Estate documented in minutes, not weeks of manual inventory
- Agents iterate on their own in DEV, three human gates stay mandatory
- Terraform, lineage and quality tests as deliverables
Nothing here fits exactly?
Every product we build exists because a need kept showing up, with our clients or in the market, until building the tool was the obvious next step. Tell us what you're trying to do. That's how the next one starts.