Trimurai · Enterprise Digital Brain

The enterprise digital brain

Sense signals. Decide with rules and AI. Act in the moment. Learn from every correction — continuously.

Work email + one-time code. New here? You can register from the sign-in page.

4
live adapters
4
layer control loop
1
shared core
SENSEsignals inDECIDErules + AIACTgovernedLEARNcorrectionsKnowledge Fabric onlinememory · rules · semantic recallTRIMURAI · EDBExecutive digital brainLive signals in. Governed decisions out.

Sense → Decide → Act → Learn, closed over a live Knowledge Fabric

What is EDB?

A reusable operating brain for live enterprise decisions

Most AI demos stop at a chat box or a static dashboard. Enterprise Digital Brain (EDB) is Trimurai’s Sense → Decide → Act → Learn scaffolding: a domain-agnostic control loop that turns live signals into governed actions, then gets smarter when operators correct it in plain English.

Domain apps only supply adapters and rules. The brain itself — event schema, DecisionObjects, Knowledge Fabric and the proactive agent — stays generic, so the same core powers finance, weather, maritime IoT and ITSM today, CRM and risk tomorrow.

Adapter topology
FINANCEStockBuster · liveWEATHERStormBuster · liveMARITIMEFleetPulse · liveITSMOpsPulse · liveEDBCORE

Four live demos · one brain · many adapters

One brain, many domains

StockBuster, StormBuster, FleetPulse and OpsPulse are live today. The same Sense → Decide → Act → Learn core is designed for CRM, risk and more — without rewriting the loop.

Not another dashboard

EDB is an operating layer: it ingests normalized events, produces DecisionObjects, executes side effects, and remembers what operators taught it.

Governed autonomy

Rules and Gemini share the Decide layer. Humans stay in the loop via Learn — corrections become policy, not one-off dismissals.

Continuous improvement

Every exception, suppress rule and autonomous insight feeds the Knowledge Fabric so the next similar signal is smarter.

Architecture

Layered intelligence model

EDB is built as four stacked layers. Operators work at the top; the cognition loop reasons in the middle; the Knowledge Fabric grounds everything below it; and autonomy surfaces read from the same memory.

Every layer is domain-agnostic — adapters plug in, the stack stays the same across StockBuster, StormBuster, FleetPulse and OpsPulse.

Layered intelligence model
OPERATOR EXPERIENCEFindings queueDecision trailExplore chatTeach / Set intentCOGNITION LOOP · SENSE → DECIDE → ACT → LEARNSENSEUniversal event schemaLive adaptersDECIDERules + LLM judgmentDecision objectACTExceptions & feedSide effectsLEARNNL → operating rulesHuman-in-the-loopKNOWLEDGE FABRICSemantic memory that grounds every decisionVector databaseSimilarity recallEmbeddingsEvents · rules · docsOperating rulesLearned policy storeDocument corpusRAG for operatorsPROACTIVE AGENTAnomaly + cluster detection · unprompted insightsVector novelty · LLM pattern proposalEXPLORE & SET INTENTFederated brain query · conflict surfacingsnapshot · vectors · docs · promote to rules

Every layer is domain-agnostic — adapters plug in, the stack stays the same

Operator experience

Findings queue, decision trail, Explore chat and a teach surface — the only places a human touches the brain.

Cognition loop

Sense, Decide, Act and Learn run as one governed pipeline over a universal event schema.

Knowledge Fabric

Vectors, embeddings, learned operating rules and a document corpus — the semantic memory that grounds every decision.

Autonomy surfaces

A proactive agent hunts patterns unprompted; Explore lets leaders query the brain and promote answers into rules.

SDAL pipeline

Four layers. One closed loop.

Every domain instantiation — StockBuster, StormBuster, FleetPulse, OpsPulse and the rest — runs the same cycle.

  1. 01

    Sense

    Adapters normalize live signals into one universal event schema — finance, weather, maritime IoT, and ITSM live today; CRM and risk next.

  2. 02

    Decide

    Rules plus Gemini refine every event into a DecisionObject: intent, confidence, exception.

  3. 03

    Act

    Exceptions, feed updates, alerts and webhooks fire from the same decision contract.

  4. 04

    Learn

    Plain-English operator feedback becomes durable operating rules in the Knowledge Fabric.

SDAL pipeline
1SENSEingest events2DECIDErules + Gemini3ACTexceptions & alerts4LEARNhuman feedbackEDBSDAL

Universal contract

Any event in. One DecisionObject out.

Adapters never talk to the UI directly. They normalize into the EDB event schema; the Decide layer returns a standard decision the Act layer can execute.

Decision contract
ANY DOMAIN ADAPTEREDB EVENT{ entityId, metric, value, payloadType, context }finance · weather · IoT · ITSMDECIDEDOMAIN-AGNOSTIC OUTPUTDECISION OBJECTactionRequiredboolintent · confidence0.0–1.0targetentityreasontextAct layer executesAdapters never touch the UI

Domain-agnostic output — the same shape for every adapter

Knowledge Fabric

Memory, rules and recall — a shared substrate

The brain remembers what it decided, the policies operators taught it, similar patterns it can retrieve when the next signal arrives — and uploaded SOPs operators can search with citations (isolated from live Decide).

  • Operating rules + decision traces (vector recall for exceptions)
  • Document corpus Q&A — runbooks and SOPs per brain, search-only MVP
  • SDAL trace replay — full Sense → Decide → Act path for any event
MEMORYDecision tracesEvent substrateRULESDynamic policiesOperator feedbackRECALLVector / semanticPattern matchShared substrate — one fabric across every adapterisolated by brainId · queryable by the Decide layer

Learn layer

Teach it in plain English

Corrections become operating rules — not one-off dismissals. In StockBuster, teaching the brain to ignore banking volume spikes during options expiry persists for every similar signal.

The same Learn loop applies to proactive insights: dismiss noise, or confirm useful patterns to boost them on future agent scans. OpsPulse uses it the same way — for example, teaching the brain that SAP batch jobs are expected overnight noise. Export and import operating rules per brain for audit and portability.

No rule editor. No retraining cycle.
Correction → policy
OPERATORIgnore volume spikes onbanking stocks duringmonthly options expiry.Plain English → Learn layerPARSEOPERATING RULEintent:suppressentity:bankingmetric:volumePersisted in Knowledge FabricNext similar signal arrives already governed — a policy, not a dismissal

Proactive agent

Insights before you ask

A background worker scans decision history and surfaces unprompted pattern insights — without waiting for a user query. Discovery runs in layers: vector anomaly and LLM clustering in the core brain, then domain group patterns in each live adapter (finance, weather, maritime, ITSM), with Gemini polishing a readable narrative alongside the technical detector output.

Run the agent on a schedule or on demand — the brain keeps thinking while leadership is elsewhere.

Autonomous discovery
DISCOVERY LAYERSVector anomaly recallLLM cluster proposalDomain group patternsScheduled or on-demand scanAUTONOMOUS INSIGHTTECHNICAL3 entities ·volume_compressionAGENT NARRATIVECorrelated pressureacross the watchlist —review Act queue.Pushed to feed — no query

Explore & Set Intent

Ask first. Encode intent second.

When push insights and direct teaching are not enough, Explore lets executives investigate first — multi-turn chat over structured config (vessels or CIs), uploaded documents, and open findings. Live today in FleetPulse and OpsPulse. When sources disagree, EDB surfaces the conflict before you Set Intent and promote a pattern into a durable Learn rule.

Conversational chat · all brain data · not findings-only BI
Chat → evidence → intent
EXPLORE CHATYouWhy are Arabian Sea voyagesspiking fuel overconsumption?EDB3 voyages exceeded CII budgetduring high-speed transit phases.Findings · telemetry · SOPsSOURCESOpen findings · 3 fuelSOP doc · 14 kn maxTelemetry · 16+ kn avgconflict surfacedSETINTENTMulti-turn chat before Learn · live in FleetPulse and OpsPulseOPERATING RULEFlag fuel findings across Arabian Sea vesselsduring high-speed phases → Learn rule

Live demos

Four adapters. One core. All running now.

Live demo

Finance

StockBuster proves the brain on live markets

The finance adapter pulls an NSE watchlist, tags configurable sector groups, and runs a proactive agent you can trigger on demand — the same EDB core as the other live demos, isolated by brainId in Firestore.

  • Live market ingest
  • Configurable sector groups
  • On-demand agent scans

Live demo

Weather

StormBuster proves the brain on live weather

Same SDAL loop, different adapter. StormBuster pulls Open-Meteo readings for eight Indian metros (including Pune), flags heat, humidity, wind and precipitation with Decide thresholds, and lets operators teach suppress rules in plain English.

  • 24/7 weather ingest
  • Regional agent patterns
  • Learn overrides

Live demo

Maritime IoT

FleetPulse proves the brain on voyage performance

Same SDAL loop, maritime adapter. FleetPulse ingests mock voyage telemetry (fuel, speed, engine RPM) for Indian Ocean trade lanes, flags overconsumption and speed deviation with Decide thresholds, supports document Q&A on SOPs, Explore & Set Intent for user-driven pattern discovery, and learns operator overrides in plain English.

  • Voyage telemetry ingest
  • Explore → Set Intent
  • Document Q&A (RAG)
  • Fleet agent patterns

Live demo

ITSM + CMDB

OpsPulse proves the brain on incidents and change

Same SDAL loop, ServiceNow-shaped adapter. OpsPulse ingests ITSM readings for a demo CMDB, flags SLA risk, repeat incidents and change collisions, and lets you switch between a scripted Friday war-room and a UCI ServiceNow extract — then Explore & Set Intent.

  • Friday + UCI data instances
  • Explore → Set Intent
  • Document Q&A (RAG)
  • Service / site agent patterns

Get started

Bring the brain into your operating model

See how EDB fits your domain — or open any live demo with a work email.