Intellema
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BANE: Business Analytics

AI Research & Data Analytics

SPEED

60 Days

MVP Delivered

QUERIES

10K+

Monthly NL Queries

ACCURACY

87%

SQL Generation Accuracy

LATENCY

1.2s

Avg Query Response

OUTCOME

3x

Faster Business Insights

Background

Where data complexity stalls the human decision

Global teams struggle to translate massive datasets into immediate action. The true deficit is the loss of momentum when critical decisions are trapped behind code.

The Intellema Design Challenge

Enterprise teams frequently struggle to extract value from unstructured data, relying on technical intermediaries for manual querying. This dependency creates a decision-making lag that prevents organizations from responding to shifts in real-time.

The project required a conversational interface to democratize data access for non-technical users. It aimed to provide instant, production-ready reporting by translating natural language into complex analytical outputs.

  • Querying Bottlenecks
  • Technical Dependency
  • Unstructured Data
  • Decision Lag
  • Data Constraints

Our Approach

01

Text-to-SQL Querying

Text-to-SQL system with dynamic visualizations for natural language database querying.

02

Voice-Enabled RAG

RAG system and zero-shot text-to-speech for accurate, voice-enabled insights.

03

Production-Grade Backend

Scalable backend architecture to support high-level corporate and production requirements.

04

MVP & Funding

MVP to secure accelerator enrollment and venture funding opportunities.

Tech Stack

LLMs (OpenAI, Hugging Face Transformers)
LangChain / LlamaIndex
FastAPI
Python, TypeScript
React
PyTorch
AWS

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