Nucleus builds and runsyour enterprise LLM

We fine-tune open-weight models on your data and deploy them as private API endpoints, with dashboards, automation, scheduling and monitoring built in.
Your secure LLM, at ChatGPT-level intelligence, with full data privacy.

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Quickstart

From dataset to a model you own

A handful of API calls take a JSONL file to a fine-tuned model served behind an OpenAI-compatible endpoint. Prefer to drive the training loop yourself? Forward-backward passes and optimiser steps are first-class API calls too.

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Step 01
Upload a dataset
Bring a JSONL file of examples. That's the only prerequisite.
Step 02
Fine-tune a model
Pick an open-weight base and start a managed training job with one call.
Step 03
Serve it
Serve any checkpoint as a private endpoint the moment training finishes.
Step 04
Use your OpenAI client
Point your existing SDK at a new base URL. Nothing else changes.
Step 05
Export the weights
Download any checkpoint. The model runs wherever you need it.

01_upload_dataset.sh

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Integrations

Connect your databases, APIs and document stores and turn them into training-ready datasets for fine-tuning.

Databases, APIs and document stores
Training-ready datasets
Custom integration support

AI Cloud

Train on managed GPUs and serve your models without deploying or scaling servers.

$nucleusmodels deploy

Custom AI Solutions

Fine-tuned models built on your enterprise data, evaluated and served as private endpoints.

OpenAI + Anthropic compatible APIs

AI Chat Agents

Assistants for your teams, backed by your own fine-tuned models rather than a shared public model.

APIs for custom solutions

Integrate your models into existing products with clean REST APIs, documented end to end.

Own the whole journey, from dataset to deployed model.

Built with Nucleus

Explore demos our team has built with Nucleus across different industries.

Ad Performance Tracking

"Our Q4 campaigns across Google AdWords and Facebook are showing inconsistent performance. Can you analyze our Matomo user data and Stripe revenue to optimize our advertising spend and improve attribution?"

Shipment Delay Management

"Check if any shipments have been delayed more than 2 days past ETA. Update chat channel and email relevant managers."

Vendor Performance Analytics

"I need a comprehensive vendor performance analysis for our Q4 contract renewals. Focus on our top 10 vendors and include cost efficiency, service quality, and response times."

Intelligent Fleet Optimisation

"Our delivery trucks are consistently running late and fuel costs are through the roof. Analyze our GPS tracking data, optimise routes and automatically update customers when delays happen."

Agriculture Yield Analysis

"Why is rice yield forecast low in Chiang Mai Block 4B this season? I need to understand what went wrong and prevent it from happening in other blocks."

Critical Incident Response

"Are there any critical incidents that have been unresolved for more than 4 hours. Escalate to senior engineers and update our incident response channels."

Dynamic Feeding Schedules

"I need to optimize our tiger feeding schedules based on their health data, activity patterns, and environmental conditions. Can you analyze the data and create personalized feeding plans?"

Predictive Maintenance

"Our production line 3 has been experiencing unexpected downtime. Can you analyze our equipment sensor data, predict potential failures, and automatically coordinate maintenance schedules to prevent costly production stops?"

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Private models
For every team

Fine-tune, evaluate, serve, and export models your organisation owns, with a workflow for every team that touches them.

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ML Engineers

Fine-tune and deploy custom models on your enterprise data with full control over training pipelines and inference endpoints.

Research Teams

Drive the training loop call by call. RL, DPO, distillation, and custom losses, with the GPUs handled for you.

Product Teams

Ship features on models that speak your domain. Keep your existing OpenAI or Anthropic client code and swap the base URL.

Data Teams

Turn proprietary datasets into evaluated, versioned models with managed fine-tuning jobs. Upload a JSONL file, get back a private endpoint.

Platform Teams

Serve models behind OpenAI- and Anthropic-compatible endpoints, with usage tracking and rate limits built in.

Enterprise Leaders

Own your AI strategy. Training data stays in your account, weights are exportable, and models can run wherever policy requires.

Built to scale.
Built to be owned.

Nucleus handles training and inference at any scale, from the first fine-tuning job to full production traffic, so your team ships models instead of managing GPUs.

Your model weights

100% yours

Compatible APIs

OpenAI + Anthropic

Tokens served

10.9M

+13.4%

Your tuned and private LLM. At a fraction of the cost.