Platform

One enterprise memory supports many intelligence products

Each layer remains modular. Companies can begin with CRM Intelligence and extend into operations, projects, finance, facilities and agentic execution.

Platform architecture

A company brain, built in five layers

At the centre of the platform is one living memory of your company: its customers, its work, the assets it owns and the decisions it has made. Every product and every agent reads from that memory and writes back to it, so each new piece of work adds context for the next one.

Leaders can ask it questions in plain language and get answers traced to their sources. People keep authority over what gets sent, priced, committed or changed.

  • Experience Executive briefingsCRM copilotOperations workspaceRole-based assistants
  • Intelligence CustomerRevenueProjectsOperationsAssets and spatial intelligence
  • Agents ResearchAnalysisCoordinationMonitoringDraftingControlled execution
  • Enterprise memory Relationship graphProcess graphKnowledge graphDigital twinDecision history
  • Data and governance CRMERPemaildocumentsfinancial datasensorspermissionsaudit trail

How the platform changes

AI changes the interface, the data model and the operating cadence

The platform evolves from a reporting destination into an active, governed participant in the workflow.

How a BI platform compares with the Sylex.ai approach
Platform dimensionBI platformSylex.ai approach
InterfaceDashboards and filtersConversation, briefs and role-specific copilots
Data modelMetrics in separate systemsOperational graph linking people, work, assets and decisions
CadencePeriodic reviewContinuous monitoring with event-driven alerts
WorkflowHuman interpretation and follow-upAI recommendations, drafts and approved actions
LearningReports remain mostly staticFeedback and outcomes improve memory, rules and agents

Governance travels through every layer: identity, permissions, source traceability, approval thresholds and audit history.

Illustration of a professional surrounded by a network of connected people, conversations and documents

First intelligence product

CRM Intelligence

In production

A shared relationship memory that turns every customer interaction into context for the next decision.

Our first product. It runs in production today.

What the product covers

  • Unified account memory

    Meetings, messages, proposals, contracts, service history and commitments.

  • Opportunity and risk signals

    Intent, stalled pursuits, missing relationships, churn risk and open obligations.

  • Next-best action

    Meeting briefs, follow-up drafts, proposal inputs and prioritized outreach.

  • Human authority

    People approve communications, pricing, commitments and sensitive customer actions.

In production

CRM Intelligence at Laser Scan Chicago

Laser Scan Chicago is a 3D laser scanning and scan-to-BIM firm. It is the company our co-founder Sergei Safonov runs, so the platform was built with its operator in the room.

What runs there today

  • Every channel in one place

    Company mailboxes, voicemail and website enquiries are pulled in every five minutes.

  • AI triage

    Spam and prompt-injection filtering, then classification, then a short card to the owner.

  • One relationship memory

    Contacts, organisations and projects with a single interaction history and a project lifecycle.

  • Bid invitations

    Bid invitations are detected and the estimators behind them become contacts.

Under human authority

  • Proposals with approval

    Proposals are generated from a fixed rate card into the shared drive, with a human approval step before anything is sent.

  • Daily rhythm

    Follow-up reminders, a daily brief, and a dashboard of what needs the owner, what is in flight and system health.

  • Authority enforced in the database

    Human authority is enforced in the database, not just in the prompt: outbound actions are gated on review.

As of September 2026 the system had processed more than 1,000 emails, over 200 voicemails and over 300 website enquiries into about 1,600 logged interactions.

Illustration of a logistics and production facility overlaid with connected data panels and streams of light

Business and physical operations

Operations Intelligence

Next module

Sylex.ai connects how work is documented with where work actually happens.

The next module, built on the same enterprise memory.

  • Process intelligence

    See bottlenecks, handoffs, exceptions and unresolved dependencies.

  • Project intelligence

    Link scope, schedules, decisions, deliverables and client commitments.

  • Asset and facility intelligence

    Anchor equipment, spaces, documents, maintenance and sensor data to a digital twin.

  • Operational agents

    Monitor conditions, prepare work, coordinate follow-up and escalate within defined limits.


Asset and Digital Twin Pilot stage

At pilot stage: capture and modelling of spaces, equipment and physical operations.

Commercial model

Land with intelligence, expand through shared memory

Every new module becomes more valuable because it uses the same governed understanding of the company.

Revenue streams

Platform subscription

Annual access priced by modules, users, operating scale and AI usage.

Implementation

Discovery, integration, governance, workflow design and change management.

Digital twin services

Optional capture and modelling of spaces, equipment and physical operations.

Expansion path

  1. CRM Intelligence In production
  2. Operations Intelligence Next module
  3. Asset and Digital Twin Pilot stage
  4. Cross-enterprise Agents

Defensibility grows through domain models, customer-specific memory, trusted workflows and measurable feedback loops.

Entry point

Start with one workflow

Start with one visible business problem: customer follow-up, pipeline quality, project coordination, operational reporting or facility intelligence.