Enterprise AI platform

AI agents that complete real work across your business.

Connect your knowledge, data and applications. RubiCore answers, automates and acts — with human approval and enterprise control.

  • Human-in-the-loop
  • Full audit trail
  • Deploy anywhere
invoice-operations.run0.0sready

Run starting

initialising

The platform, in numbers

268

features across 20 product areas

30+

prebuilt industry automations

4-stage

AI safety guardrail pipeline

25+

PII entity types detected and masked

Connects to what you already run

  • Microsoft Teams
  • SharePoint
  • Outlook
  • OneDrive
  • Google Drive
  • SAP
  • WhatsApp Business
  • PostgreSQL
  • Weaviate
  • MinIO / S3
  • Entra ID SSO
  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Azure OpenAI
  • DeepSeek
  • Perplexity
  • MCP tool servers
  • REST + gRPC
  • Webhooks
  • Nextcloud
  • Redis
  • NATS JetStream
  • Prometheus

What it does

Three things, on one governed platform.

01

Answer

Grounded answers from your own documents, meetings, email and databases — never generic model knowledge.

02

Automate

A drag-and-drop workflow studio for multi-step processes, with branches, loops, retries and approval gates.

03

Act

Real actions in your systems — update records, send communications, generate documents, trigger approvals.

The whole platform

That was three of 268.

Grounded chat, no-code builders, meeting intelligence, plain-English data questions, finished Office documents, 30+ industry automations — explore the full spread.

Conversational AI & grounded chat

14 capabilities

Streaming, source-cited assistants over your own documents, meetings, email and the web.

  • Scope-grounded answers

    Pin a chat to personal, team, project, email or meeting scope — answers cite their sources.

  • Fast vs deep-agent modes

    Instant single-shot replies, or a multi-step agent that plans, calls tools and produces deliverables.

  • Live step trace

    Complex runs show every step, tool call and file produced, in real time.

  • Reasoning transparency

    Reasoning models stream their thinking as a separate channel that survives refresh.

  • Agent router

    Questions are auto-routed to the right specialist agent — users just ask.

  • @-mentions & prompt library

    Switch agents mid-chat, insert saved prompts, browse a tagged library.

  • Web search with citations

    Optional live web results folded in, with clickable sources.

  • Voice input & multilingual

    Speech-to-text in the composer; full multilingual and right-to-left support.

  • Public & white-label bots

    Publish a fully branded assistant to customers — no platform login needed.

Real processes

See the whole process, not a demo of a chatbot.

Finance & invoice operations

Invoice operations, handled end to end

Before
Vendor invoices are read and keyed by hand, matched to POs, and exceptions chased over email.
With RubiCore
Your team only touches the exceptions.

The run · finance

  1. Vendor email arrivesIMAP / Graph trigger
  2. Documents extractedimage-aware parsing
  3. Line items matched to POreconciliation
  4. Anomaly held for approvalhuman-in-the-loop · waits for you
  5. ERP updated, supplier notifiedaction taken
Builder Studio · workflow canvas
The visual workflow studio: a quotation process built as connected nodes — receive RFQ, extract items, look up pricing, manager approval, then branch to quote generated or rejected.

Architecture

Governance wraps every layer — not bolted on at the edge.

RubiCore platform architecture: chat channels feed an orchestration layer of agents, workflows and skills, which draws on a shared foundation of knowledge, data and actions, and reads and writes to systems of record. A governance band of tenant isolation, RBAC, approvals and immutable audit wraps every layer.GOVERNANCE WRAPS EVERY LAYERCHANNELSTeamsWhatsAppWeb chatEmailORCHESTRATIONAgentsWorkflowsSkillsSHARED FOUNDATIONKnowledgeDataActionsSharePointOutlookSAPPostgreSQLERP / CRMSYSTEMS OF RECORD · SCOPED READ AND WRITE

How it scales

Start with one process. Prove the value. Scale across the business.

  1. 01One processA painful, repeatable process live end to end.
  2. 02One departmentReuse the same knowledge and connectors nearby.
  3. 03Many departmentsFinance, procurement, service and ops share a layer.
  4. 04AI foundationA standard every new automation is assembled from.
Scale ladder01 One process: A painful, repeatable process live end to end. 02 One department: Reuse the same knowledge and connectors nearby. 03 Many departments: Finance, procurement, service and ops share a layer. 04 AI foundation: A standard every new automation is assembled from.01One process02One department03Many departments04AI foundationeach stage reuses everything below it

How it works

Five steps from your process to a live run.

01

Connect

Link documents, databases, email, ERP and business apps.

02

Configure

Shape the agent around your actual process and rules.

03

Approve

Set the human checkpoints where sign-off is required.

04

Run

Workflows execute across systems with a live step trace.

05

Improve

Monitor cost, accuracy and outcomes; tune over time.

Who uses it

One login. Three modes.

One RubiCore platform in three modes: User Hub to run ai, Builder Studio to build ai, Command Center to govern ai — all standing on one shared platform layer of identity, knowledge, guardrails and audit.Run AIUser HubBusiness usersCited answers from real company contentPlain-English questions over governed dataSame assistants inside Teams and WhatsAppBuild AIBuilder StudioBuilders & power usersDescribe an agent in plain language, get a draftReusable skills that run real code in a sandboxLive test runs before anything shipsGovern AICommand CenterAdmins & platform ownersModel catalog and per-org tieringUser, team and scope lifecycle managementHours-and-dollars-saved ROI trackingOne platform · one loginShared identityShared knowledgeShared guardrailsImmutable audit

Run AI

User Hub

Chat grounded in company documents, meetings and databases.

Build AI

Builder Studio

Create no-code chat and task agents, visual DAG workflows and reusable skills by describing what you want — then test live before publishing..

Govern AI

Command Center

Control models, tools, users and quotas.

Next step

Bring us one process. We’ll show you the run.