Data Without Context
A campaign may perform differently not because the campaign changed, but because the world around it changed. No conventional system connects these dots.
Turn Business Data Into Better Decisions.
Ontrix connects the signals around your business to the context inside it,
so revenue teams can understand what matters and act with confidence.
Built first for revenue-critical decisions in real estate.
Data is everywhere. Decision context is fragmented.
Most organisations have data. Most even have dashboards. What they lack is a system that understands how the data connects, and what it means for the next decision.
Decisions Without Memory
Every week, teams make decisions without knowing what was decided before, why it worked or didn't, and what the business context was at that time.
AI Without Business Understanding
Generic AI answers questions. It doesn't understand your business as an interconnected system of objects, relationships, events, and outcomes.
Two worlds of intelligence. One decision model.
Ontrix doesn’t just consume your internal data. It combines it with external market signals and encodes it into a living business ontology that agents can reason over.
Inside Your Business
Outside Your Business
configurable
Ontrix Business OntologyA living decision model of your enterprise
Context changes the meaning of data.
Your data stays yours, always.
Ontrix does not pool or share data across organisations. Your business remains the source of truth. The moat is the ontology, the decision logic, and the reasoning framework, not your data.
Beyond dashboards. Beyond generic AI.
Traditional Analytics
- Data
- Dashboard
Shows what happened. Doesn't connect cause and effect. Requires human interpretation every time.
Generic AI
- Question
- Answer
Responds without understanding your business. No memory, no context, no organisational knowledge.
Ontrix
- Business Data + External Signals
- Ontology + Memory + Logic
- Models + Agents
- Decision
AI doesn’t understand your business until it understands its relationships.
The Ontrix Ontology is not a database schema. It is a representation of your business as a system of objects, relationships, events, logic, decisions, and outcomes.
Objects · Relationships · Events · Logic · Decisions · Actions · Outcomes
External Signals (configurable)
Core Business Objects · Internal Data
Events
Events re-evaluate every layer above.
Revenue Outcomes
- Core Business Objects
- External Signals (configurable)
- Revenue Outcomes
- Events
The Ontology is not just a data graph.
It is a decision system with five layers of meaning.
DATA
“What happened?”
LOGIC
“How should it be evaluated?”
ACTION
“What can be done?”
OUTCOME
“What happened after?”
SECURITY
“Who can see, approve, or act?”
Six steps from data to decision.
Each step is a layer of the platform, and each layer builds on the one before it. Nothing is a black box.
01CONNECT
Internal + External Data
Connect your CRM, campaigns, sales data, and project information. Optionally layer in external signals: market trends, competitor activity, seasonality, economic indicators. Your source of truth stays yours.
Data Layer
02MODEL
Business Ontology
Ontrix encodes your business into a structured decision model: objects, relationships, events, and logic. Not a schema. Not a dashboard. A living representation of how your business works.
Ontology Layer
03REMEMBER
Organisational Memory
Decision history, outcomes, and context persist across time. Ontrix knows what was decided before, why, what happened, and what the business situation was at that moment.
Memory Layer
04REASON
Models + Logic + LLMs
Ontrix combines statistical models, ML models, optimization methods, and LLMs. The method is chosen per decision rather than fixed in advance.
Reasoning Layer
05ACT
Agentic Workflows
Autonomous agents act on the business ontology, not on raw data or isolated queries. Follow-ups, prioritisation, recommendations, alerts, triggered by events and logic rather than by people.
Agent Layer
06LEARN
Outcomes Become Context
Every decision creates an outcome, and every outcome becomes new context. Measurable results feed back into memory, so the system improves with each cycle.
Decision & Action Layer
The model is not the product. The decision context is.
Agents that operate on business context.
Not raw data. Not isolated queries. Agents read the business context held in the Ontology, so they understand relationships, history, and external signals before they act.
01
Marketing Intelligence Agent
Spend → Revenue Attribution
Connects every rupee of marketing spend to actual bookings, adjusted for external market context so budget decisions are made on evidence, not assumption.
- Ad spend → lead quality attribution
- Creative effectiveness analysis
- Budget reallocation recommendations
- Competitor signal integration
02
AI Presales Agent
24×7 Digital Sales Executive
Engages every lead instantly across WhatsApp, website, voice. Qualifies intent, handles objections, books site visits, before your team opens their laptop.
- Identifies budget, configuration & urgency
- Handles FAQs and initial objections
- Schedules site visits automatically
- Transfers high-intent leads to human team
03
Sales Manager Copilot
Revenue Intelligence Briefings
Leadership receives a morning briefing with the exact actions that will move revenue today, not a dashboard of metrics to interpret.
- High-intent customers to call now
- Drop-off signals & at-risk leads
- Top objections blocking conversion
- External signal alerts (competitor, demand)
04
Customer Intelligence Engine
Beyond Lead Scoring
Learns continuously from conversations, bookings, and market signals. Your team gets a prioritised list every morning, not a random pile of leads.
- Purchase probability per customer
- Site visit likelihood scoring
- Drop-off risk detection
- Best next action per salesperson
Revenue Intelligence for Real Estate Developers.
The first Ontrix vertical deployment. Built specifically for how Indian real estate developers acquire, qualify, and convert customers, at scale.
The real estate revenue funnel
- Total monthly leads10,000 · 100%
- 2,000 receive no follow-up, 20% lost immediately
- Receive generic follow-up8,000 · 80%
- 4,000 stop responding, poor engagement
- Show genuine interest4,000 · 40%
- 2,500 never reach a site visit
- Site visits500 · 5%
- 400 lost in negotiation
- Bookings30–50 · 0.3–0.5%
Bar widths are proportional to each stage’s share, floored at 4% so the final stages remain visible. Exact counts are labelled on every stage.
The challenge is not the availability of leads. The challenge is knowing which customer has genuine buying intent, needs immediate attention, and what to say to them.
What Ontrix does for real estate
Lead Intelligence
Every lead is scored by real purchase intent based on behaviour, source, conversation, and market signals. Your team calls the right 50 people today, not a random 500.
Instant Engagement
The AI Presales Agent responds to every inquiry in seconds, 24×7 on WhatsApp, website, and voice. No lead waits more than 60 seconds for an initial response.
Marketing Attribution
Connect Meta, Google, and portal spend to actual bookings, adjusted for competitor activity, seasonality, and market conditions. Know which campaign actually created revenue.
Revenue Forecasting
Forecast monthly bookings based on pipeline quality, market signals, and historical conversion patterns. Give leadership a number they can plan around.
Ontrix · 6-week pilot programme
Start with one use case. Prove value. Then scale.
Week 1–2
Data assessment, CRM audit, ontology mapping, success baseline
Week 3–6
Deploy one: AI Lead Prioritization, Sales Copilot, or Lead Qualification Agent
Outcomes
80% faster response · 20% more qualified leads · 3× more site visits
Pilot investment
₹3–5 Lakh
100% refund if targets not met
Why we built this.
Ontrix is being built to solve a problem that exists in almost every large organisation: decisions are made on fragmented context, isolated data, and institutional memory that lives only in people’s heads.
I have spent 8+ years building AI systems that solve one problem: how do large organisations stop losing revenue to bad decisions, slow processes, and unworked data. Real estate is where that problem is most expensive, and most unsolved.
Background
- Ex EY, AI and analytics transformations for enterprises across real estate and consumer sectors
- Ex Unilever, consumer intelligence and demand analytics at scale
- Ex Co-Founder, Buildpan, real estate technology venture with direct experience of how developers sell
- MBA, IIM Indore
AI Systems Built
- Lead scoring models, ranking prospects by real purchase intent
- Customer segmentation engines, identifying high-value buyers early
- Marketing attribution, connecting spend to revenue
- Agentic AI workflows, autonomous systems acting on context
Real Estate Consulting Outcomes
Lead Intelligence
Built intent scoring for a developer with 8,000+ monthly leads, 40% reduction in wasted follow-up
Sales Prioritisation
AI-ranked daily call list for 60-person team, 25% more site visits in 6 weeks
Marketing ROI
Meta + Google connected to bookings, 30% of budget reallocated to top-converting campaigns
Active educator, teaching Data Science and AI to thousands of professionals. Every Ontrix solution is designed to be understood and owned by your team, not treated as a black box.
We are partnering with select organisations to co-create and deploy Ontrix.
We are not yet claiming a finished product. We are building the next generation AI-native Revenue Operating System, and looking for the first three real estate developers to build it with.
Contact Ontrix at 1shantanusharma1@gmail.com or +91 79747 67441.