The Age of Platinum Data for AI

Data is the modern-day key differentiator in the AI race. Our platinum data solutions will make it happen for you.

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Handshake Mool.ai Techro Consulting Frontier AI labs · deals in progress

Four pillars of platinum data

End-to-end AI data products powering training, alignment, evaluation and safety for modern foundation models.

  1. Platinum-grade human annotation with a diverse, expert rater workforce for precise AI training data.

    50+ domains & languagesRigorously vetted ratersCo-Pilot quality governance
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  2. Bespoke datasets engineered for language-model training, fine-tuning, evaluation and alignment.

    Fine-tuning & RLHF dataEval & benchmark suitesMultimodal datasets
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  3. Bespoke datasets and environments engineered for model training, fine-tuning, evaluation and alignment across STEM, software engineering, medicine, law and content moderation.

    Expert computer-use workflowsVerified trajectoriesPrivacy built in
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  4. Proactive red teaming, vulnerability identification and iterative resilience engineering for production AI.

    Bespoke red teamingBenchmark & compliance testingIterative remediation
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The art of creating best-quality platinum data

Multi-modal, multi-domain coverage powered by elite talent and state-of-the-art AI tooling.

  1. 01

    Any modality, any domain

    TextImageVideoAudio
  2. 02

    Talent

    Linguists & domain experts100+ years of ML expertise
  3. 03

    Tooling

    Platforms built for the last mile of AGIState-of-the-art AI models
  4. 04

    Best-quality platinum data

    Multi-layer validatedConsistent across ratersModel-ready

Expert annotation platform

Expert annotation, built for frontier difficulty

Domain experts author the tasks today's models get wrong. Every record is checked, beaten against the model panel and reviewed by a second expert before it ships.

Expert annotation platform
Every model must failEach response on the model panel must be wrong before a task counts
Ground truth with the reasoningGolden solution, first incorrect step and abandoned approaches
Rubrics and guided sessionsExpert rubrics for open answers; hint-ladder sessions
Verified, not assertedAutomated gates and two expert reviews before delivery

Data for frontier models, built to order

Precision-engineered datasets for training, alignment, evaluation and multimodal models. Built by domain experts on our own annotation tools, made for the world's most precise, expert-grade labels.

Fine-tuning data

RLHF, instruction tuning & preference pairs

Evaluation & benchmarks

Domain, safety & alignment eval suites

Synthetic augmentation

Expert-validated, edge-case coverage at scale

Multimodal datasets

Image, audio & video paired with text

Inside our annotation platform

Medical imaging
Frame-level annotation
Project setup
Experts in parallel

Adversarial AI safety

Fortifying AI with adversarial intelligence

Find and fix your model's vulnerabilities before threats reach production.

Fission · our red-team engine

Every exploit, proven.

Every finding is signal-verified: we show an exploit actually fired, with real network evidence, rather than a judge model's say-so.

  • Through the real productProduct-function and persona-level attacks driven through the live UI, not a toy harness.
  • Signal-verified findingsEach result carries the evidence that it fired, so your team can trust and reproduce it.
  • Your models, your stackPoint it at your own model or agent: Anthropic, OpenAI or locally hosted.
FissionRunning
A glimpse of Fission, coming soon

Redacted preview · Proprietary attack methods are blurred to protect our IP

01

Industry-standard testing

Benchmarked against global leaderboards, regulatory frameworks and recognized evaluation sets.

  • Benchmark & leaderboard evaluation
  • Regulatory compliance testing
  • Safety reports, presented by analyst leads
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02

Bespoke red teaming

Targeted attacks by adversarial specialists, aimed at your product’s functions, users and edge cases.

  • Vulnerability & edge-case probing
  • Attack-vector and persona-level simulation
  • Custom reports and specialist briefings
Get started →
03

Iterative remediation

We close the gaps with your teams, in continuous cycles that keep strengthening resilience.

  • Collaborative gap analysis
  • Rapid fixes with embedded engineers
  • Ongoing monitoring & regression testing
Get started →

Real-world deployments face unpredictable threats. Continuous adversarial intelligence keeps your AI ahead of attackers.

RL environments for computer-use agents

Introducing Praxis OS

Agents still lose to experts on long, multi-app work.

Praxis OS turns that work into training signal.

  1. 01Experts do the real taskIn the software they use every day, or in high-fidelity clones on resettable VMs.
  2. 02Every step is capturedScreens, actions, reasoning and every app’s internal state.
  3. 03Checked, then replayedInto a verified golden trajectory your lab can train on.
24–41%best models’ win rate against experts in financeGDPval
0%completion on agent tasks longer than 163 minutesOSWorld 2.0
<7%of an agent’s budget spent checking its own workOSWorld 2.0

Working at a frontier lab? Read our partnership brief →

How a golden trajectory is made

Every expert step and the app state behind it, captured, verified and replayable: the richest training signal for real, multi-app work.

How Praxis OS records expert work and delivers it to labs Six stages, lit one after another: task, expert works, verified, delivered, client trains, client runs RL. An expert works a purchase-order task in an ERP that looks the same as a live app or as its clone on a virtual machine, while a recorder captures the screen, every action, the UI structure and the reasoning; the app then collapses into a grid of apps across finance, operations, legal and health admin. Underneath, a second expert scores the live run and grades it, while the clone’s internal state is read at checkpoints S0 to S3 and a verifier asserts the end state for a reward. Live runs ship as golden trajectories; the clones ship as RL environments with their tasks, verifiers and trajectories. At the client, models train on the trajectories in the client’s own infrastructure, and an agent acts in the environments across domains, sending actions and receiving state and reward.

Where the work happens

Live app An expert works the task; a second expert grades the run.

Its clone on a VM The same interface; its internal state is read at every checkpoint and verified.

Praxis OS

  1. Task
  2. Expert works
  3. Verified
  4. Delivered
  5. Client trains
  6. Client runs RL

Delivered to clients

  • Golden trajectories, for training in-house
  • RL environments, with their tasks, verifiers and trajectories

Environments to train in. Trajectories to learn from.

Take the full RL environment with its golden runs, or just the golden trajectories, captured from real experts doing real work. Both come with the state behind every step.

Environment + trajectories

Praxis OS Environments

Cloned apps on VM images, with the tasks, verifiers and golden runs to train against them.

  • High-fidelity clones of the apps your agents must master, seeded with synthetic data: no live side effects
  • Snapshot and restore to an exact state, and run identical instances in parallel
  • Task suites written by domain experts, with messages that arrive mid-task and change the rules
  • Verifiers that read each app’s full internal state, including what the UI and API never expose
  • Seed golden trajectories, replayed step by step to the scored end state
VM imagesCloned appsTask suitesVerifiersGolden runsInternal state

Built for: RL training and agent evaluation

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Trajectories only

Praxis OS Trajectories

Golden trajectories from real-world work, recorded as domain experts do their jobs in the software they actually use.

  • Exactly the software professionals use, with none of the gaps of a rebuilt clone
  • Timestamped screens paired with every click, keystroke, hotkey and command
  • The UI structure on screen (every button, field and menu), the task brief and the reasoning behind each step
  • When experts stop to ask for missing information: the question and the answer
  • Final files, time taken and expert grades with written reasons; sensitive data redacted
Screen videoAction logUI structureReasoningExpert grades

Built for: SFT, imitation learning and reward models

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Already run your own environments? Our experts write the tasks and verifiers, and produce golden trajectories inside them.

Bring your environment →

Founders’ note

Until superintelligence is available, data is the fossil fuel for AI. The last mile of AGI is the hardest, especially when it comes to the data.

We find this extremely interesting, and are focused on two pieces of the puzzle: an expert data platform, and a sustainable expert rater program.

01

An expert data platform

Built to capture the nuances of expert problem solving and deliver them as reusable, verified, high-quality signals for frontier model training. Every record begins where today's frontier models fall short, and captures not just the right answer, but how an expert gets there.

We extend this to computer use, turning real-world expert workflows into verified, trainable environments with privacy built in from the first keystroke. Every signal is measured against human experts rather than simply asserted, so labs know exactly how far they can trust it.

02

A sustainable expert rater program

We are reimagining expert rater programs for the last mile of AGI and a sustained future.

We want to establish Machine Intelligence Domain Experts as the golden standard for expert raters: bringing experts and AI closer than ever, and making theirs sustainable, longer-term roles in the AI industry.

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Why Platina

Elite human expertise, intelligent tooling and uncompromising quality governance, in one data ecosystem.

Quality promise

50+

domains & languages, with multi-layer validation on every annotation

  • Co-Pilot agents run real-time consistency checks
  • Active learning closes quality loops automatically

Cost promise

40–70%

productivity uplift from high-precision auto-annotation

  • Intelligent sampling minimizes data volume
  • Transparent pricing, no hidden costs
  • Commercial models that scale with you

Customer-first obsession

Zero

data leaves your control: privacy-first, hosted in your own infrastructure

  • A dedicated partner from day one to delivery
  • Offerings tailored to your exact use case

Ready to go platinum?

Tell us about your AI data needs and we'll put together a custom proposal within 24 hours.

Location

Stevenson Ranch, Los Angeles

We respond within 24 hours. No spam, ever.