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RL Environments & Coding-Agent Evals
Reproducible, verifiable environments and evaluation tasksets for training and testing coding agents.
- Terminal ops
- Reward signals
- Verifiers
- Reference solutions
New
2026 industry benchmark report →
Human intelligence for better AI.
Training environments, coding datasets and benchmarks for capable AI agents.
Deaimer builds verifiable RL environments, licenses private coding-agent datasets, and develops independent benchmarks for measuring real-world model capabilities.
Trusted by AI teams across North America, Europe & Asia
4,500+
Private Coding-Agent Tasks
2,000
Terminal-Bench Tasks
1,000
Terminal-Bench Science Tasks
1,500
SWE-bench Tasks
Workforce
40K+
Vetted contributors across 90+ languages, dialects, and domains worldwide
Data Points Delivered
2.4B
Regions Active
38
QA Accuracy
99.4%
Avg. Project Turnaround
72hr
WHAT WE DO
Three ways to get capable-agent data.
Custom RL Environments
Purpose-built, containerized environments for coding agents, computer-use agents and other systems that learn through verifiable interaction.
Capabilities: Task design, environment engineering, automated graders, reference solutions, reward signals, adversarial validation and model-run analysis.
Explore RL EnvironmentsOff-the-Shelf Datasets
Private, unpublished coding-agent tasks available for controlled sampling, direct acquisition, and exclusive or non-exclusive licensing.
Capabilities: Terminal workflows, DevOps, system administration, debugging, repository-level engineering and long-horizon agent tasks.
View Available DatasetsBenchmarks & Research
Independent benchmarks and evaluation systems designed to measure whether AI agents can complete difficult real-world work reliably.
Capabilities: Reproducible execution, task validation, repeated model trials, trajectory analysis and evidence-based reporting.
Explore BenchmarksWHY DEAIMER
Built for difficult, verifiable work.
Technical specialization
Experienced coders and domain specialists across computer science, AI, mathematics, physics, engineering and related disciplines.
Supervised delivery
A managed in-office operation supported by an extended network of more than 400 technical and domain specialists.
Independent review
Separate author and reviewer workflows designed to reduce errors, ambiguity and evaluation leakage.
Evidence-based acceptance
Oracle testing, negative controls, verifier analysis, reproducibility checks, shortcut testing and model-run evidence.
Flexible engagement models
Custom production, dataset licensing, independent QA, benchmark development and controlled pilots.
SOLUTIONS
Everything you need, end to end.
Six practice areas that work together beautifully — so you get one partner across the entire data lifecycle, not six vendors and a headache.
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Data Collection & Sourcing
High-volume acquisition across global regions with targeted participant recruitment and dependable production oversight.
- Text & dialogue
- Audio & speech
- Image & video
- Participant sourcing
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Annotation & Gen AI
Human-led enrichment for training, alignment, prompting, and fine-tuning workflows.
- Multi-modal labeling
- RLHF
- Prompt engineering
- Fine-tuning
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Evaluation & Transcription
Accuracy, QA, validation, and structured conversion before it ever reaches you.
- Transcription
- Model benchmarking
- Search relevance
- Speech eval
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Managed Workforce
Expert talent, managed teams, strict compliance — built for enterprise scale.
- Expert vetting
- Team ops
- Role placement
- Compliance
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Custom Software
Proprietary tech powering secure delivery and reporting across every project.
- Portals
- Automation
- Pipelines
- Analytics
HOW IT WORKS
A simple, four-step rhythm.
We've run hundreds of engagements — so we know the steps that matter. Every project runs on the same tight playbook.
1
Scope together
We translate your model's goals into a concrete spec — volumes, quality thresholds, demographic coverage, compliance requirements.
2
Assemble the team
Vetted contributors matched by language, domain, and specialization. Leads and QA placed within 72 hours.
3
Run the pipeline
Workflows execute on our portals. Every item tracked, sampled, audited. Live visibility into progress.
4
Ship the dataset
Structured, validated, formatted to spec. Export to S3, GCS, Azure, or direct-to-pipeline with full QA reports.
From first brief to first delivery in under a week. No long onboarding, no hand-holding — just a team that already knows what great data looks like and exactly how to get it to you.
No long contracts. Flex up or down at any point.
72h
Team assembled
99.4%
Avg. agreement rate
500+
Projects delivered
GLOBAL FOOTPRINT
Local talent, at global scale.
40,000+ vetted contributors across 38 regions — so your datasets reflect the world your models actually operate in.
North America
12,000
Europe
9,100
Asia Pacific
5,800
Latin America
6,400
MENA
4,200
Sub-Saharan Africa
3,000
THE PLATFORM
Software that keeps everyone on the same page.
Our custom-built portals give project managers, annotators, and clients a single source of truth. No spreadsheets, no blind handoffs, no guesswork.
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✓Live quality dashboards Real-time visibility into agreement rates, throughput, and SLA adherence across every active workflow.
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✓Tiered QA pipelines Sampling, gold-set validation, and multi-pass review baked directly into task assignment logic.
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✓Compliance-first by design Role-based access, audit logs, and region-locked data handling for GDPR, HIPAA, and SOC 2.
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Live
Throughput
12.4k/d
Agreement
99.4%
Active
247
Weekly throughput
+18.4% vs last week
Multilingual RLHF
86.1%
Speech transcription
72.4%
Image segmentation
94.7%
Search relevance
58.2%
GET STARTED
Start with tasks you can inspect.
Request controlled samples from Deaimer's private coding datasets or define a small custom environment pilot under your own specifications and acceptance criteria.