About InsightLM

The framework for building domain-specific SLMs & LLMs that organizations can own, control and trust.

Our Story

From data platforms to domain-specific AI — a decade of helping enterprises put their data to work

Innovation-Driven Foundation

Founded by the team behind the VC-funded startup AppBrick Inc and backed by Verticalserve, our team has spent over a decade building data and AI platforms for enterprises across Finance, Healthcare, Telecom and Retail.

From Data to Models

InsightLM grew out of work building data catalogs, lakehouses and ML pipelines. We saw the same pattern everywhere: enterprises had the data and the use cases — but lacked a repeatable way to turn that into trustworthy, owned, vertical AI models.

Security-First Architecture

InsightLM is built so customers never have to send their proprietary data, fine-tuning gradients or model weights to a third party. Everything — curation, training, evaluation, serving — runs inside your environment.

Our Mission

Make it practical for any organization to own a fine-tuned vertical SLM — not rent a generalist API

Vertical AI, Owned End-to-End

Generalist APIs are expensive, opaque, and frequently wrong on domain-specific work. InsightLM gives organizations a complete, opinionated framework to curate their own data, fine-tune the right base model, evaluate it rigorously, and serve it inside their own environment — for a fraction of the cost and with full control.

Smaller, Faster, Cheaper

Tuned 0.5B–14B parameter models can match or beat much larger generalist LLMs on narrow domain tasks — at 10–100x lower cost per call.

Reusable Pipelines

Curation, training and eval components built once, then re-targeted across Insurance, Retail, Banking, Healthcare and more.

Sovereign & Auditable

Full lineage from raw source to deployed model, encryption end-to-end, and on-prem deployment for regulated industries.

InsightLM is built by people who have shipped enterprise data and ML systems for over a decade. Our goal is simple: make it as routine to ship a vertical SLM as it is to ship a microservice.

What We Stand For

The principles that shape how we build InsightLM and partner with customers

Open & Pragmatic

We embrace open-weight models and open standards. No vendor lock-in to a single base model, training framework, or serving stack.

Security First

Your data, your gradients and your model weights stay inside your environment. Default architecture is private, encrypted and auditable.

Outcome Focused

A model is only useful if it ships. We measure success in deployed models and business KPIs, not benchmark scores.

Reproducibility

Every model artifact links back to an exact dataset hash, recipe and code commit. No "works on my GPU" surprises in production.

Verticals We Build For

InsightLM is designed to be re-targeted — these are the domains we have reference pipelines and starter datasets for today

Insurance

Policy QA, FNOL triage, claim summarization, ACORD-form extraction, fraud-risk scoring, denial-letter drafting

Retail & E-Commerce

Catalog generation, attribute extraction, review summarization, conversational search, support automation

Banking & Financial

KYC document understanding, AML alert triage, disclosure QA, complaint classification, loan memos

Healthcare & More

Clinical note summarization, coding assistance, prior-auth drafting — plus Legal, Manufacturing, Telecom and Public Sector

Under the Hood

InsightLM is built on best-of-breed open infrastructure — not a black box

Open-Weight Base Models

Qwen, Llama, Mistral, Phi, Gemma — sized 0.5B to 70B+ for the right cost / quality tradeoff per task

Modern Training Stack

Axolotl, TRL, Unsloth, DeepSpeed, FSDP — for SFT, LoRA / QLoRA, DPO, ORPO and continued pretraining

High-Performance Serving

vLLM, SGLang, TGI, llama.cpp with GGUF / AWQ / GPTQ quantization for GPU and edge deployment

Any Cloud or On-Prem

Deploy on AWS, Azure, GCP, OCI, your own data center, or air-gapped — orchestrated with Prefect / Dagster / Airflow

Ready to Build Your Vertical AI?

Talk to us about standing up your first domain-specific SLM with InsightLM — from data curation through deployment

Request Demo Contact Sales

On-premise deployment • No data leaves your network • Enterprise support included