The Business Brain — powered by Context Graphs. Genible models your entities, relationships, and signals as a living graph, then grounds every answer in your real workspace data.
CRM. WhatsApp. Email. Spreadsheets. Calls. The information you need is somewhere in there — but when you actually need an answer, you don’t get one.
Your data is trapped in fragmented tools. Traditional integrations require months of bespoke engineering.
You have answers, but they require 5 disjointed dashboards to decipher.
Dashboards tell you what happened. Genible tells you what to do.
Your team spends hours reading context before making a single decision.
Genible doesn’t bolt yet another tool on. We ingest your APIs dynamically, model your business as a Context Graph of entities, relationships, and signals, and let a multi-layer Brain reason over it.
Most software stores rows. Genible stores a graph — entities, typed relationships, signals, and history — so the Brain can actually reason over how your business works, not just what’s in your database.
Customers, deals, invoices, tickets, projects — whatever your business runs on. Modeled as typed records, not flat rows.
Edges with semantics — who owns what, what blocks what, what triggers what. The Brain traverses them.
Every event, every change, every anomaly — captured and time-stamped, so the answer to “what changed” is always at hand.
Genible is four engines working together — build apps, automate workflows, predict outcomes, and interact with your entire business through one intelligent layer.
Describe what you need in plain English. Genible’s AI pipeline goes from conversation to deployed app — entity schemas, forms, workflows, dashboards — generated against your Context Graph.
Visual workflow builder with 32 step types. Triggers fire from events, schedules, webhooks, or Brain decisions. Runs on Cloudflare Workers, AWS Lambda, or GCP Cloud Functions — same engine, your runtime of choice.
An ML-ready prediction engine. Compile features from your graph, train scoring models on your data, and surface ranked recommendations — every prediction comes with its contributing factors.
Ask questions in plain English. The Brain routes through 14 domain specialists — entities, workflows, integrations, signals, forms, dashboards, notifications — and grounds every answer in your real workspace data.
Every form submitted, every workflow that runs, every recommendation accepted or ignored — it all feeds back into the graph. After six months, the brain knows your business better than any single team member.
Forms, integrations, manual entry, WhatsApp inbox. Everything that happens to your business gets recorded.
LiveInputs become typed entities, edges, signals, and events in your Context Graph — automatically.
LiveThe Brain’s 6-step agent + 14 specialists query the graph to answer questions, score risks, and recommend actions.
LiveWorkflows triggered from Brain decisions — send the email, create the task, post to Slack, fire the webhook.
LiveOutcome telemetry — accepted, rejected, ignored — refines routing and retrieval. The Brain gets sharper as you use it.
In progressNo new platform to migrate to. No six-month rollout. Just a quiet layer that connects what you already have, and starts answering.
Genible ingests OpenAPI definitions in seconds. We securely handle OAuth, Bearer, API keys, and HMAC through a unified credentials engine — and turn endpoints into workflow steps the Brain can call.
Your data lands in a Context Graph — entities, typed relationships, signals, and history. 14 specialist agents traverse it: forms, workflows, dashboards, integrations, signals, notifications, and more.
Ask in plain English. The Brain routes to the right specialist, queries the graph, and answers with the evidence trail attached — what it read, what it found, what it’s about to do.
A full WhatsApp Business Platform built in — campaigns, template sync, AI reply suggestions, conversation routing, compliance, coexistence with the mobile app, and real-time monitoring. Not a wrapper. A platform.
Broadcast templates to segments with scheduling and throttling
Auto-syncs approved templates from WhatsApp Business API
AI-powered reply suggestions for agents in real-time
Route chats to the right team based on intent and topic
Full conversation history indexed for brain search
Automatic compliance with opt-out requests and regulations
Pick a role. See a real question. See the kind of answer Genible gives — with the receipts to back it up.
“Where is my Acme deal stuck?”
Last touch was your pricing PDF on Apr 24. Priya opened it twice but hasn’t responded. On the call before that, she asked for an annual option — you sent monthly.
No follow-up is on your calendar. The last 3 deals that went silent at this stage came back when someone re-opened the conversation in 7–10 days.
Every answer comes with an evidence trail — which entities it read, which signals it weighed, which specialist routed the question, how long it took. You see what the Brain saw before it gave you the answer.
See the exact slice of your Context Graph the Brain pulled in — entities, edges, recent signals.
Which specialist agent answered, which graph tools it called, how many turns the agent took.
Every LLM call is logged, costed, and capped. You never get a surprise bill from a runaway prompt.
Documents, emails, calls, invoices — the receipts the Brain used are linked back to the underlying records.
Route alerts to the right person on the right channel — email, in-app, Slack, SMS, or webhooks. Templated, scheduled, and fully automated by workflows and signals.
Rich HTML templates with variable injection
Real-time push notifications in the dashboard
Channel and DM delivery with interactive blocks
Text message alerts for critical updates
Trigger any external system via HTTP callbacks
Three honest things you should know before you spend a minute on a demo.
We connect to what you already use. No rip-and-replace, no painful migration. If you already have a CRM, keep it.
Begin with one question, one team. See a real answer in week one. Expand only when it proves itself.
Your information never trains anyone else’s model. You can disconnect any source at any time, and take everything with you.
A few years ago this product was financially impossible. Today the cost curve, the pain, and the missing primitive all line up.
In 18 months, foundation model costs dropped enough to make AI-native operations viable at SMB pricing. What was impossible two years ago is the default now.
The average business runs 37+ tools that don’t talk to each other. The pain of tool sprawl is past the point where “add another dashboard” fixes anything.
Every tool stores data, none capture context. Until now, that gap was filled by humans manually stitching information. The Context Graph fills it permanently.
Every enterprise feature you’d expect — permissions, audit trails, SSO, multi-tenancy, versioned configs — baked in from day one. Not bolted on later.
Role-based access control with permission groups and resource-level gates
Enterprise single sign-on for seamless identity management
Complete audit trail of every action, change, and access event
Tenant isolation with workspace scoping across teams and business units
Git-like version control for schemas, workflows, and app configurations
Development, staging, and production environments with promotion workflows
White-label customer portals with branded domains and embeddable widgets
What’s on the site today is what’s shipped today. Here’s what’s coming — so you know what to expect, and when.
One day soon, every business will run on a brain like this. Yours can start now.
A 30-minute walkthrough. We’ll connect one corner of your business and show you a real answer — on your real data.