AI Innovation Portfolio

Building the Future of Intelligent Systems

Explore our collection of AI-powered solutions designed to solve real-world problems and democratize access to advanced technology.

In Development
Featured

Stellar TrieLink

Unified middleware for LLM providers with performance optimization and caching

Stellar TrieLink is a sophisticated middleware solution that provides a unified interface for multiple Language Model providers. It serves as a centralized abstraction layer between applications and various LLM services like Ollama, OpenAI, and local models.

10x faster response
Performance
60% API cost savings
Cost Reduction
TypeScript
Node.js
Express
Docker
+4 more
In Development
Featured

Ollama MCP Server

Model Context Protocol server enabling Claude to interact with local Ollama models seamlessly

A sophisticated TypeScript-based MCP (Model Context Protocol) server that bridges Claude Desktop with local Ollama models. This integration enables Claude to access and utilize locally-hosted language models through a standardized protocol, providing enhanced privacy and control over AI model interactions.

100% compliant
MCP Compliance
10 Ollama operations
API Coverage
TypeScript
Node.js
Model Context Protocol
Ollama
+2 more
In Development
Featured

Merger Balance Sheet Automation

AI-powered financial data reconciliation system for bank mergers with >90% accuracy using vector embeddings

A comprehensive solution for automating the integration of CSV data into Excel balance sheets for financial mergers. This tool addresses complex data matching challenges using three progressively sophisticated approaches: standard exact matching, enhanced logging with fuzzy matching, and vector-based semantic matching using AI embeddings. The vector-based version achieves over 90% fill rate compared to 37.5% with traditional exact matching, making it ideal for handling inconsistent naming conventions and missing data in financial mergers.

90%+
Data Fill Rate
40% → 90%
Performance Improvement
Python
PyTorch
Sentence Transformers
FAISS
+6 more
In Development
Featured

VectorCodeLens

Semantic codebase analysis platform using vector embeddings and LLMs for intelligent code understanding.

VectorCodeLens is a sophisticated TypeScript application that revolutionizes how developers understand and query codebases. By combining vector embeddings, large language models, and the Model Context Protocol (MCP), it provides intelligent semantic analysis that goes beyond traditional static code analysis.

10x faster
Search Performance
95%
Pattern Detection
TypeScript
Node.js
Qdrant Vector DB
Ollama
+4 more
In Development
Featured

Triepod.ai Knowledge Base Platform

Enterprise RAG system with vector database integration for semantic document search and AI-powered insights

A sophisticated knowledge management platform built with React and Node.js that combines PostgreSQL and Pinecone vector databases for advanced document processing and retrieval.

95%
Search Accuracy
60%
Token Optimization
React
TypeScript
Node.js
Express.js
+7 more
In Development
Featured

Disability Rights AI Assistant

Transform complex discrimination cases into powerful legal documents

Revolutionary AI technology that creates enterprise-grade disability rights documentation at 95% less cost than traditional legal services.

$16,000+
Document Value Created
85%
Success Rate
GPT-4
Claude 3
Neo4j
Qdrant
+4 more
In Development
Featured

Directory Tree AI

Intelligent file system analysis and visualization

Advanced AI system for understanding, analyzing, and visualizing complex directory structures with semantic understanding of code relationships.

TypeScript
Python
D3.js
Neo4j
+2 more
In Development
Featured

AI Research Engine

Multi-database knowledge synthesis at scale

Powerful research system combining Neo4j knowledge graphs, Qdrant vector search, and Chroma sequential reasoning for comprehensive AI-powered research.

100x
Research Speed
99.2%
Accuracy Rate
Neo4j
Qdrant
Chroma
Python
+3 more
In Development

Claude CLI MCP Server

MCP server that exposes Claude Code CLI functionality through standardized protocol tools

A minimal yet powerful Model Context Protocol (MCP) server that bridges Claude Code CLI functionality with programmatic access.

< 2s
Response Time
99.9%
Reliability
Python
FastMCP
Claude Code CLI
asyncio
+3 more
In Development

Triepod Encoder Ring

Cyberpunk-themed email address generator with deterministic encoding for unique digital identities

The Triepod Encoder Ring is a sophisticated email address generation system that creates unique, cyberpunk-themed email identities using deterministic encoding algorithms. This tool transforms ordinary email parts into dystopian-style identifiers through seed-based substitution ciphers, making it perfect for creating memorable yet secure email addresses for various digital personas. Built with security and uniqueness in mind, the system uses SHA256 hashing to ensure deterministic results while maintaining the aesthetic appeal of cyberpunk nomenclature. Each generated email follows the pattern: {botid}-{noid}-{vector}-{encoded_email_part}@triepod.ai, creating instantly recognizable yet unique identifiers. The project features comprehensive logging, cross-platform compatibility with ANSI color support, and a robust encoding system that prevents conflicts while maintaining readability. It's particularly useful for developers, security researchers, and anyone needing memorable email addresses with a distinctive cyberpunk aesthetic.

Instant
Generation Time
100%
Accuracy
Python
SHA256
Colorama
Deterministic Algorithms
+1 more
In Development

Cyberpunk Chat

Max Headroom-inspired cyberpunk terminal chat interface with multiple conversation threads and offline resilience

A sophisticated terminal-based chat application that brings the aesthetic and spirit of Max Headroom to modern AI conversations. Features multiple conversation threads, offline fallback capability, persistent storage, and a circuit breaker pattern for API resilience. Built with a cyberpunk aesthetic including visual glitch effects and monochrome styling that captures the essence of 1980s digital rebellion.

99.9%
Reliability
Sub-second
Response Time
Python
OpenAI API
Rich Terminal UI
SQLite
+1 more