Llmlogic provides enterprise‑grade generative AI solutions that are fine‑tuned, privately hosted, and production‑ready for regulated industries such as legal, healthcare, and finance. Their platform offers domain‑specific LLM tuning, Retrieval‑Augmented Generation (RAG) knowledge assistants, and agent‑backed workflows, with managed MLOps for scaling, monitoring, and cost‑optimized model infrastructure. Customers can deploy private LLMs on‑prem or in VPCs, integrate with existing knowledge bases, and use tools like PersonaAI and Docs2Agent for customized conversational and content generation.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in regulated sectors such as legal, healthcare, and finance face difficulty adopting generative AI because public large language models lack data privacy, domain specificity, and production‑grade reliability. Integrating these models into internal workflows also requires robust retrieval‑augmented generation, monitoring, and cost‑controlled scaling.
Solution
Llmlogic delivers private, enterprise‑grade generative AI platforms that provide domain‑tuned large language models hosted on‑premises or within a VPC for full data residency. The service includes fine‑tuning and parameter‑efficient tuning pipelines, retrieval‑augmented generation (RAG) with vector‑DB integration, and agent‑backed workflows that connect to internal documents, CRM systems, and knowledge bases. Built‑in MLOps capabilities offer SLA monitoring, cost‑optimised scaling, and safety testing to ensure reliable production deployment. Additional tools such as a generative content studio and persona‑driven conversational simulators enable automated copy creation and training use cases with quality controls and review workflows.
Target Audience
Primary customers are large enterprises in regulated industries—legal firms, healthcare providers, and financial institutions—that require secure, domain‑specific generative AI for internal knowledge assistants, content creation, and workflow automation.
Features
- Private LLM deployment options (on‑prem or VPC) with data residency guarantees and SLA monitoring
- Domain adaptation via fine‑tuning and parameter‑efficient tuning, plus safety and evaluation testing
- Retrieval‑augmented generation pipelines using vector databases and tool‑use agents for knowledge‑base assistants
- Agent‑backed workflow orchestration for enterprise search, CRM integration, and automated decision support
- Generative Content Studio offering template‑driven copy and ad generation with plagiarism checks and review workflows
- PersonaAI simulators for custom conversational agents used in training and sales enablement
- Scalable infrastructure with automated cost optimisation, monitoring, and production‑ready MLOps