Custom LLMs

Language Models Trained on Your Data

Fine-tuned large language models that understand your domain, speak your brand voice, and deliver accurate responses — without hallucinations or generic outputs.

GPT-4LLaMAClaudeMistral
By the Numbers

Built to perform at scale

0%
Domain Accuracy
Fine-tuned on your proprietary data
0×
Faster Than Manual
vs. generic prompt engineering
Zero
Data Leakage
Isolated training environments
0–6wk
Fine-Tune Time
From data to production
Capabilities

What Our Custom LLMs Can Do

Core

Domain Fine-Tuning

Train on your proprietary documents, FAQs, and knowledge base for domain-specific accuracy.

Use Cases

Built for Every Industry

See how businesses use our custom llms to solve real problems.

Legal

Challenge

Lawyers spending hours reviewing contracts manually

Outcome

AI reviews 100-page contracts in minutes, flagging risks and extracting key clauses

90% time saved
Healthcare

Challenge

Clinical staff searching through unstructured patient notes

Outcome

LLM extracts structured data from notes and answers clinical queries instantly

3× faster lookup
Finance

Challenge

Analysts manually summarising earnings reports

Outcome

Automated report summarisation with key metrics extracted and compared to prior periods

80% effort reduction
How It Works

From zero to running in four steps

No complex setup. No long onboarding. Just connect and go.

Data Assessment

Data Assessment

We audit your existing documents, FAQs, and knowledge sources to assess training data quality and coverage.

Typically 1–2 weeks

Model Selection

Model Selection

We select the optimal base model — open-source or proprietary — based on your accuracy, cost, and privacy requirements.

Fine-Tuning & RAG

Fine-Tuning & RAG

We fine-tune the model on your data and build a RAG pipeline connected to your live knowledge base.

Evaluation & Deploy

Evaluation & Deploy

Rigorous evaluation against your benchmarks, then production deployment with monitoring and retraining pipelines.

Stack & Trust

Connects with your stack

Every solution plugs into the tools you already use — no rip-and-replace required.

🤖

OpenAI GPT-4

Base Model

🦙

LLaMA 3

Open Source LLM

💨

Mistral

Efficient LLM

🔗

LangChain

Orchestration

📚

LlamaIndex

RAG Framework

🌲

Pinecone

Vector DB

🔵

Weaviate

Vector DB

FastAPI

API Layer

🐍

Python

Language

☁️

AWS Bedrock

Cloud AI

🤖

OpenAI GPT-4

Base Model

🦙

LLaMA 3

Open Source LLM

💨

Mistral

Efficient LLM

🔗

LangChain

Orchestration

📚

LlamaIndex

RAG Framework

🌲

Pinecone

Vector DB

🔵

Weaviate

Vector DB

FastAPI

API Layer

🐍

Python

Language

☁️

AWS Bedrock

Cloud AI

SOC 2 Type II
SOC 2 Type II
GDPR Ready
GDPR Ready
AES-256 Encrypted
AES-256 Encrypted
99.9% Uptime SLA
99.9% Uptime SLA
FAQ

Custom LLMs questions

Common questions about our custom llms solution.

A custom LLM is a large language model fine-tuned or trained on your proprietary data to understand your domain, terminology, and workflows better than a generic model.

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