Apps that run inside the operating system for agentic AI.
Word processing, spreadsheets, presentations and document processing, rebuilt around agents. Four apps, one knowledge graph, one governance layer, one UX, embedded where people already work.
Documents that start finished.
Memos, minutes, legal acts and reports drafted by agents from your own data, with every claim traceable to its source.
- Grounded draftingAgents write from the knowledge graph and the case file, not from thin air. Every paragraph carries a link to the page it came from.
- Quick Actions in the marginExplain, summarise, check a reference, compare with the previous version. One click, no prompt engineering.
- Templates that enforce the house styleCredit memos, board minutes, legal acts and regulation drafts follow your templates, numbering and methodology rules.
- Compliance checks before publishingValidity of cited references, conflicts with existing norms, syntactic clarity and change summaries, run automatically on the draft.
- Export where the work goesWord and PDF export, with structured metadata for your document management system.
Spreadsheets that read documents.
Turn portfolios, invoices and investor reports into structured tables, ask questions in plain language and reconcile sources in one view.
- Documents in, tables outData tapes, invoice registers and payment schedules populated directly from classified documents, with a confidence score per cell.
- Ask the sheetQuery even the most complex workbooks in natural language and get the number, the formula and the source row.
- Reconciliation viewsCross-source data remediation shown as colour-coded matches, mismatches and confidence levels, ready for a human decision.
- Reverse-engineered reportsInvestor and payment reports parsed by language models into consistent Excel structures, every period.
- Exports and connectorsXLSX, CSV, JSON and direct feeds to core systems through APIs and MCP servers.
Sheets Agent€ 2,417,960 across 14 positions; two values have low confidence and are flagged above.
Decks built from evidence.
Sales pitches, portfolio reviews and executive summaries generated on your templates, with charts computed from the underlying documents.
- From 70 datapoints to a pitchFinancial statements become client-ready presentations with FX exposure charts and talking points for the sales team.
- Your template, every timeCorporate layouts, colour systems and disclaimers applied automatically to each generated deck.
- Charts with provenanceEvery number on a slide links back to the statement, report or spreadsheet it was computed from.
- Executive summaries on demandEarnings calls, market reports and portfolio reviews condensed into slide-ready narratives.
- PowerPoint exportNative .pptx output that your teams can edit, present and archive.
Humans review only what the agent flags.
The document-processing workspace where AI robots ingest, classify, extract and validate at scale, and operators confirm the exceptions.
- Any input, any formatPDF, scans, handwriting, XML feeds, emails, spreadsheets, audio and video. OCR, HTR and layout analysis included.
- Classification and object extractionDocuments sorted into categories, then entities and hierarchical objects extracted, from cadastral triples to invoice line items.
- Human-in-the-loop reviewAltilia Reviews shows extracted fields colour-coded by confidence next to the highlighted source. Operators confirm, correct or escalate.
- Cross-source remediationExtracted data checked against your databases and other documents; conflicts surfaced with a confidence score and source hierarchy.
- Structured output, deliveredJSON, XML and CSV pushed to ERP, core banking and claims systems through REST APIs and MCP servers.
Shared by every app, built once.
Permissions, knowledge, models and audit are OS services. A new app, or a new agent inside an app, inherits all of them on day one.
One knowledge graph
Write, Sheets, Slides and Extract read and write the same entities, so a value extracted in Extract is the value quoted in Write.
One permission model
Who can see which data, run which agent and publish which document, enforced across every app and every inference.
One model-serving layer
Domain-tuned SLMs, LLMs and VLMs routed per task and served on your infrastructure when sovereignty requires it.
One audit trail
Every extraction, draft, chart and decision logged with its sources, so compliance can replay how any output was produced.
One UX
Quick Actions, review queues and conversational agents look and behave the same in every app, so people learn once.
One connector layer
APIs and MCP servers link apps and agents to CRM, ERP, ECM and core systems, in both directions.