endear.ai
Managed LLM Fine-Tuning

Build AI that knows
your organization.

Managed infrastructure for fine-tuning foundation models on your proprietary data. From data pipelines to deployment — your custom LLM, production-ready in days.

From raw data to production model.

01

Data Ingest

Connect your document stores, databases, and unstructured sources. Our pipeline handles deduplication, formatting, and PII scrubbing.

02

Base Model Selection

Choose from Llama 3, Mistral, Falcon, Phi, or your own base checkpoint. We support any HuggingFace-compatible model.

03

Fine-Tuning Run

LoRA, QLoRA, or full fine-tuning — we select the optimal technique based on your dataset size and compute budget.

04

Eval & Benchmarking

Automated evaluation against your hold-out set and domain-specific benchmarks before any model reaches production.

05

Deployment

One-click deployment to our serving infrastructure, your cloud, or on-premise. OpenAI-compatible API out of the box.

06

MLOps Dashboard

Monitor inference, track model drift, schedule retraining runs, and manage versions from a unified control plane.

Flexible engagement models.

Starter
One fine-tuning run
$3,500
Up to 7B param model
LoRA fine-tuning
Up to 50K training examples
Eval report included
Model weights delivered
Email support
Get Started
Recommended
Team
Quarterly cadence
$9,500
Up to 34B param model
LoRA or full fine-tune
Up to 500K training examples
Automated eval suite
Hosted inference included
MLOps dashboard access
Priority support
Get Started
Enterprise
Continuous retraining
Custom
Any model size
Custom training technique
Unlimited training data
Custom benchmarks
Dedicated ML engineer
On-prem or VPC deploy
SLA + dedicated support
Get Started

Your domain. Your model.

Stop paying for hallucinations. Fine-tune a model that actually knows your organization.

Talk to an ML Engineer