CounterDeal
A local-first neurosymbolic AI real estate workbench that separates language models from deterministic code, used for compliance calculations and transaction analysis by real estate agents.
Timeline (last 90 days)
CounterDeal is a fully local neuro-symbolic workbench that separates the language model from deterministic code, built around the pain points of real estate agents in Pune, India.
CounterDeal uses gemma2:2b running locally via Ollama to power the workbench navigation and buyer concierge features.
CounterDeal's compliance checks bypass the LLM entirely, using strict mathematical calculations implemented in TypeScript to verify against MahaRERA's floor space index limits and statutory fees.
CounterDeal's counterfactual deal probabilities and concession recommendations are computed by a local FastAPI/Uvicorn microservice built on Prior Labs' TabPFN-3.5 tabular foundation model.
The CounterDeal frontend uses Next.js (App Router), React and Tailwind CSS, and adopts a matte dark design system.
In the 30-day pilot, the system raised the conversion rate by 40%, cut compliance check time from 45 minutes to under 3 seconds, and generated more than 180,000 rupees in additional revenue.
In CounterDeal, gemma2:2b parses user intent and handles conversation navigation, a TypeScript RERA auditor performs statutory calculations, and TabPFN handles structured probabilistic prediction.
All Facts (7)
CounterDeal is a fully local neuro-symbolic workbench that separates the language model from deterministic code, built around the pain points of real estate agents in Pune, India.
50%UnverifiedCounterDeal uses gemma2:2b running locally via Ollama to power the workbench navigation and buyer concierge features.
50%UnverifiedCounterDeal's compliance checks bypass the LLM entirely, using strict mathematical calculations implemented in TypeScript to verify against MahaRERA's floor space index limits and statutory fees.
50%UnverifiedCounterDeal's counterfactual deal probabilities and concession recommendations are computed by a local FastAPI/Uvicorn microservice built on Prior Labs' TabPFN-3.5 tabular foundation model.
50%UnverifiedThe CounterDeal frontend uses Next.js (App Router), React and Tailwind CSS, and adopts a matte dark design system.
50%UnverifiedIn the 30-day pilot, the system raised the conversion rate by 40%, cut compliance check time from 45 minutes to under 3 seconds, and generated more than 180,000 rupees in additional revenue.
50%UnverifiedIn CounterDeal, gemma2:2b parses user intent and handles conversation navigation, a TypeScript RERA auditor performs statutory calculations, and TabPFN handles structured probabilistic prediction.
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