Bring the work. Set the standard. See how it scores.

Review the output, each rubric criterion, and the evidence behind the assessment. SynthCloud brings that work into managed model specialization.

Specialize your agent on your expertise, fully managed.
Readthe output
Revieweach criterion
Inspectthe evidence

Built around your work

Read what the agent produced, review its assessment, and use your expert judgment to guide what improves next.

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Your expertise is your moat

Turn your team’s knowledge and judgment into specialized models. We manage the fine-tuning around your tasks, your domain, and your standards.

General-purpose agent
“I can offer you a refund.”
Specialized for your team
“This needs approval. I’ll route it to your account lead.”
Your expertise
  • General-purpose
  • Specialized (selected)
  • Tie
  • Skip

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Your sessions

The decisions, tool calls, and corrections that show how your team works.

Your tasks

Real problems from your business give agents something meaningful to learn from.

Your standards

Your policies, approved examples, and quality bar guide model specialization.

Your expert feedback

Your corrections teach the details a general-purpose model misses.

Your agents. Your specialized models.

SynthCloud brings managed model specialization to your agent workflows. Keep the tools your team knows. Build around the work your business needs.

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Built around the agents you use

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Your domain. Our fine-tuning.

Define what great work looks like. We manage the data, training, and evaluation that make your agent more specialized.

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  1. Define the work

    Bring the tasks, domain knowledge, and standards that matter to your team.

  2. Establish a baseline

    We evaluate the agent against your success criteria to understand where it needs to improve.

  3. Prepare training data

    We turn task examples, expert feedback, and agent interactions into training data for your domain.

  4. Specialize the model

    SynthCloud manages fine-tuning around the work your agent needs to do.

  5. Validate the result

    Compare the specialized agent with its baseline on your tasks, then use the results to guide the next improvement.

Inside tune.new

Your expertise. Trained into your agents.

You define the work and the standard. We manage the model specialization.

Bring the tasks, tools, and context your agents need to do the job.

Start with your workTasks

Set the standards your team expects, from domain knowledge to how tools should be used.

Define what good looks likeYour standards

We handle training data, model fine-tuning, and evaluation around your tasks.

Leave the training to usFully managed

Review model behavior on your tasks and guide the next round of improvement.

Stay in controlYour judgment

Models specialized for your work

Start with assessed work and expert feedback. SynthCloud manages specialization around your tasks, context, and standards.

Trajectories

Inspect an agent’s tool calls, responses, and outcomes, step by step.
Explore trajectories

Collections

Find task collections that match what you want to evaluate.
Browse datasets

Tasks

Explore tasks with clear instructions, environments, and verifiable outcomes.
Explore tasks

Environments

Review a task’s setup and verifier before choosing what to run.
Inspect task environments

Trials

Track your recent trials and their status.
View your runs

Benchmarks

Benchmark browsing is not available here yet.
View availability

Compare

Compare rewards and trial results to choose your next experiment.
Compare results

Models

Review your named models, immutable releases, and reported usage.
View your models

Workspace

View your recent trials, sessions, and connected workspace.
Open workspace

Built for your domain

Your standards. The measure of a model.

Evaluate specialized models on the work you actually need them to do.

Explore published tasks
Model specializationIllustrative comparison of baseline and specialized task behavior; no measured scores are shown.Task setIllustrative agent behavior comparisonBaselineSpecializedTrain on your tasks. Evaluate against your standards.

Harbor task and trajectory formats