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A complete pipeline from raw enterprise data to a deployed, monitored vertical SLM
Ingest documents, Q&A, glossaries, transcripts and tickets. Parse, deduplicate, scrub PII/PHI, classify, and version every dataset with full lineage.
Generate domain Q&A, instructions, reasoning traces and hard negatives from your corpora using teacher-LLM distillation and human-in-the-loop labeling.
Fine-tune with reusable recipes — SFT, LoRA/QLoRA, DPO/ORPO, continued pretraining. Score every candidate against domain eval suites and red-team probes.
Quantize (GGUF / AWQ / GPTQ), serve via vLLM / SGLang / llama.cpp, gate with guardrail SLMs, and monitor drift, cost and quality from a unified registry.
InsightLM connectors turn your existing knowledge into model-ready training sets
Policies, contracts, manuals, SOPs, glossaries, regulatory filings — parsed with layout-aware extraction and OCR fallback.
Call transcripts, chat logs, agent notes, support tickets and emails — turned into intent, summarization and dialog training pairs.
CRM, ERP, claims, transactions and product catalogs — converted into extraction, classification and reasoning training data.
Three integrated planes — Curation, Training and Operations — designed to be reused across every vertical you build for.
A complete set of building blocks — no notebooks duct-taped together
Qwen, Llama, Mistral, Phi, Gemma — pinned, signed, ready to fine-tune
YAML-defined SFT / LoRA / DPO recipes, versioned alongside your data
Q&A, instructions, reasoning traces, adversarial cases from your corpora
Held-out test sets, LLM-as-judge with rubrics, regression gating per release
Lineage from raw source → dataset hash → recipe → model artifact → scorecard
Domain-tuned embeddings and grounded answer generation out of the box
Small classifier SLMs for PII redaction, safety, refusals and topic gating
vLLM / SGLang / llama.cpp — deploy in your VPC, your edge, or private cloud
Concrete examples of domain-specific small language models you can build — and the tasks they solve
Qwen fine-tuned on policy wordings, claims notes, ACORD forms and call transcripts — for underwriting, claims and customer service.
Fine-tuned on product catalogs, reviews, support tickets and merchandising guidelines — for catalog quality, search and customer experience.
Tuned on KYC docs, statements, disclosures, transaction logs and contact-center transcripts — for risk, compliance and customer operations.
Trained on clinical notes, payer policies, drug labels and literature — deployed entirely on-prem to meet HIPAA / PHI requirements.
Fine-tuned on contracts, case law, regulatory filings and internal playbooks — for contract review, due diligence and policy QA.
Trained on equipment manuals, maintenance logs, SOPs and safety bulletins — runnable at the edge inside plants and field operations.
Tuned on rate plans, network knowledge bases and millions of support interactions — for self-service, agent assist and churn prevention.
Fine-tuned on statutes, forms, benefits handbooks and curricula — fully on-prem for sovereignty and data-residency requirements.
Don't see your vertical? InsightLM is designed to be re-targeted — bring your domain corpora and we'll help you stand up the first model.
Talk to Us About Your DomainTrain and serve entirely inside your environment. No data, no gradients, no model weights ever leave your network.
Deploy InsightLM in your own data center, VPC (AWS / Azure / GCP), or air-gapped environment. Bring your own GPUs or use managed clusters.
Built-in PII / PHI detection and redaction during curation. Per-dataset access controls, encryption at rest and in flight, full audit trails.
Designed to support GDPR, HIPAA, SOC 2, PCI-DSS and CCPA programs with dataset lineage, license tracking and reproducible training runs.
Stop renting a generalist LLM API. Own a small, fast, accurate model trained on your data — built with InsightLM.
On-prem deployment • Your data never leaves your network • Enterprise support included