Train models
on your
own data.

The complete platform to

Fine-tune.

Fine-tune, evaluate, and deploy open-source models with zero infrastructure.

✓Fine-tune & Datasets✓RLHF & Guardrails✓Agents & Tool Use✓Endpoints & Analytics

langtrain · terminal● running

$ langtrain inject ./support-tickets.jsonl --model llama-3.1-8b
  ✓ 21,440 instruction pairs validated
  ✓ Auto split: 19,296 train / 2,144 eval
  ⠿ Fine-tuning · epoch 3/3  loss: 0.091 ↓
$ langtrain deploy --name cs-agent-v3 --guardrails pii,profanity
  ✓ Model secured (2.3 GB) · PII enabled
  ⚡ Live → api.company.ai/v1  ·  p50: 47ms

92%

Auto-Resolution

< 50ms

p50 Latency

0 Leaks

PII Blocked

Live demo · Try it free → auth.langtrain.xyz

Train models
on your
own data.

The complete platform to

Fine-tune.

Fine-tune, evaluate, and deploy open-source models with zero infrastructure.

✓Fine-tune & Datasets✓RLHF & Guardrails✓Agents & Tool Use✓Endpoints & Analytics

langtrain · terminal● running

$ langtrain inject ./support-tickets.jsonl --model llama-3.1-8b
  ✓ 21,440 instruction pairs validated
  ✓ Auto split: 19,296 train / 2,144 eval
  ⠿ Fine-tuning · epoch 3/3  loss: 0.091 ↓
$ langtrain deploy --name cs-agent-v3 --guardrails pii,profanity
  ✓ Model secured (2.3 GB) · PII enabled
  ⚡ Live → api.company.ai/v1  ·  p50: 47ms

92%

Auto-Resolution

< 50ms

p50 Latency

0 Leaks

PII Blocked

Live demo · Try it free → auth.langtrain.xyz

[ MODULE.01 // THE_PROBLEM ]

Generic models don't know your business.

Off-the-shelf AI hallucinates and fails on domain-specific tasks.

⊗

Accuracy

Generic outputs, broken trust

Off-the-shelf models produce generic responses and hallucinate domain-specific answers.

87% drift

⊘

Memory

Knowledge that vanishes

Context windows are limited. Your institutional knowledge cannot fit into a prompt.

Context window limit

⊜

IP Protection

Your IP, locked out

Your AI isn't trained on your proprietary data, acting as if your business doesn't exist.

0% proprietary data

◈

Cost & Control

Too expensive to scale

Paying per-token for massive generic models is inefficient and costly at scale.

$0.015/1K tokens

Langtrain closes the gap

[ MODULE.02 // THE_PLATFORM ]

Everything to own your AI.
From raw data to live production.

The complete fine-tuning lifecycle in one workspace.

Model Hub & Datasets

100+ models. Your data. Zero setup.

Fine-tune any SOTA open-source model with zero ML infrastructure.

Llama 3.3

8B / 70B

Mistral 7B

v0.3 Instruct

Phi-4

14B

Gemma 3

4B / 27B

Qwen 2.5

7B / 72B

DeepSeek R1

7B / 70B

Fine-tune & Training Jobs

LoRA · QLoRA · Full

Zero-coding fine-tuning. We automatically handle the GPUs.

epoch 1loss: 0.31epoch 15

Guardrails

Safe by design.

Block PII leaks and toxic output at inference time.

PII Detection

12 blocked

Profanity Filter

0 today

Min output length

> 80 chars

Custom regex

/SSN: \d{9}/

Endpoints & Integrations

Deploy in seconds.

Deploy an OpenAI-compatible API instantly.

$ langtrain deploy --name cs-v3

✓ Model packaged (2.1 GB)

✓ Endpoint live · guards active

→ api.yourdomain.ai/v1

< 50ms avg p50 latency

RLHF & Activity Hub

Make it behave your way.

Vote on responses to align the model to your preferences.

Here's some info about that.

Sure! The capital of France is Paris, known for the Eiffel Tower.

✓ preferred

Your code has a bug.

On line 12, `arr[i]` should be `arr[i-1]` — off-by-one error.

✓ preferred

Playground & Knowledge Base

See the difference. Before you ship.

Compare base and fine-tuned models side-by-side.

Base Model

The clause relates to liability...

Fine-tuned ✦

Section 4.2 limits liability to direct damages, capped at 3× fees. Review indemnification clause before signing.

Agents & Tools

Give your AI hands.

Upgrade your model to an autonomous agent with tool access.

Observe→

Reason→

Act→

Evaluateloop

Evals & LangVision Analytics

Ship with confidence, not hope.

Evaluate benchmarks before shipping and monitor live drift.

Accuracy

base 61%→ft 94%

BLEU

base 38%→ft 79%

base 52%→ft 88%

Ops Hub & Privacy

Total privacy.
Total control.

Zero data egress. SOC2 and GDPR ready.

Zero data egress

SOC2 + GDPR ready

VPC & On-prem support

[ MODULE.03 ] Comparison

Own your models.
Don't rent someone else's.

Zero-ops simplicity combined with full data privacy and model ownership.

Feature

Langtrainrecommended

Hosted APIs

DIY Hosting

100% Model Weight Ownership

Zero Infrastructure Setup

Deploy with 1 Command

Flat, Predictable Pricing

RLHF & Human Preference Alignment

Built-in AI Guardrails (PII + Custom)

Playground: Base vs. Fine-tuned

LangVision Production Monitoring

Autonomous Agent Deployment

Desktop App & CLI for Local Runs

Get started today

Vendor fees

Months of setup

[ MODULE.04 ] Trust

Built for production scale.

100+

Models Available

Llama 3.3, Mistral, Phi-4, Gemma 3 & more

< 38 min

Avg. Fine-Tune Time

Raw data to production-ready model

1 cmd

To Deploy

langtrain deploy — live in seconds

100%

AI Ownership

Your weights, your infrastructure, your rules

SOC2 Compliant

Multi-Region

Role-Based Access

Dedicated GPUs

Free for individuals & open-source teams

Build it once. Own it forever.

Deploy your own AI with zero infrastructure headaches and no vendor lock-in.

Free plan for individuals & open-source teams
100% model weight ownership — zero vendor lock-in
Deploy cloud, on-prem, or edge — your choice

langtrain CLI

$ pip install langtrain

✔ Installed langtrain 0.1.12

$ langtrain tune --model llama3.1-8b \

--dataset ./my-data.jsonl \

--epochs 3

⠿ Starting job #lt-9f3a…

✔ Job complete — epoch 3/3 · loss 0.041

$ langtrain deploy --job lt-9f3a

✔ Live → https://api.langtrain.xyz/api/v1/models/my-llama

Train modelson yourown data.

Generic models don't know your business.

Generic outputs, broken trust

Knowledge that vanishes

Your IP, locked out

Too expensive to scale

Everything to own your AI.From raw data to live production.

100+ models. Your data. Zero setup.

LoRA · QLoRA · Full

Safe by design.

Deploy in seconds.

Make it behave your way.

See the difference. Before you ship.

Give your AI hands.

Ship with confidence, not hope.

Total privacy.Total control.

Own your models.Don't rent someone else's.

Built for production scale.

Build it once. Own it forever.

Generic models don't know your business.

Generic outputs, broken trust

Knowledge that vanishes

Your IP, locked out

Too expensive to scale

Everything to own your AI.From raw data to live production.

100+ models. Your data. Zero setup.

LoRA · QLoRA · Full

Safe by design.

Deploy in seconds.

Make it behave your way.

See the difference. Before you ship.

Give your AI hands.

Ship with confidence, not hope.

Total privacy.Total control.

Own your models.Don't rent someone else's.

Built for production scale.

Build it once. Own it forever.

Train models
on your
own data.

Everything to own your AI.
From raw data to live production.

Total privacy.
Total control.

Own your models.
Don't rent someone else's.

Everything to own your AI.
From raw data to live production.

Total privacy.
Total control.

Own your models.
Don't rent someone else's.