We build capabilities that didn't exist before
Proprietary AI infrastructure and novel approaches — from fine-tuning domain-specific models to building protocol ecosystems that make AI agents productive at enterprise scale.
Fine-Tuned SLM
Domain-Specific Mistral 7B, Trained on Customer Data
A Mistral 7B Instruct model fine-tuned with LoRA on 53 Bounteous policy PDFs (575 pages, 2,276 Q&A pairs), quantized to GGUF Q5_K_M. Runs locally via llama.cpp on Apple Silicon. Data never leaves the environment — a core differentiator for regulated industries.
8-Factor Smart Routing
Intelligent SLM/LLM Hybrid with Weighted Scoring
A novel routing engine that evaluates every query across 8 weighted factors to decide whether a fine-tuned local SLM or a cloud LLM should handle it. Privacy-sensitive queries stay local. Complex reasoning goes to the cloud. Cost and latency are optimized automatically.
MCP Ecosystem
Protocol Infrastructure for AI Agents at Scale
A production ecosystem of 8 Model Context Protocol servers providing 100+ tools for AI-assisted software development. These servers let AI agents interact with JIRA, Confluence, code reviews, and development workflows through a standardized protocol.
Prometheus
Intelligence Layer for the MCP Ecosystem
The central hub and intelligence layer for the entire VISHKAR MCP ecosystem. Prometheus provides natural language Q&A across all 8 MCP servers, an interactive tool explorer, vision and strategy mapping with 5 AI maturity archetypes, and management of 38 specialized AI agent profiles. It learns from every interaction through a built-in feedback loop.