Turing Unclaimed

Accelerate AI model evaluation and development with high-quality, customizable data packs.

Enhance coding agent performance evaluation through comprehensive GitHub task benchmarks.

Evaluate and enhance AI code review capabilities with targeted benchmarks.

Connect with elite AI talent to boost your enterprise's AI capabilities.

Align AI initiatives with business goals through tailored strategy development.

Deploy scalable AI systems aligned with business outcomes.

Transform pilot projects into scalable, production-ready AI solutions.

Services that define AI roadmaps, align initiatives to business outcomes, and plan pilot-to-production paths.

Capabilities to operationalize frontier models into scalable, KPI-aligned production systems and maintain deployments.

Benchmarks, containerized evaluation environments, and tasks to measure model performance on code, multimodal, and RL workloads.

Curated, benchmark-quality datasets and custom data packs for finance, legal, medical, STEM, and other verticals.

Datasets, RL environments, and world-modeling resources for training and evaluating robotic and embodied agents.

On-demand access to vetted AI-native engineers, talent pods, and integration services to accelerate delivery.

Data Packs

Benchmark-quality datasets and evaluation resources for post-training AI research and deployment, including coding, STEM, multimodal, domain-specific, robotics, and custom data packs, plus RL environments. It also includes SWE-Bench++ and related benchmarks.

• Measure Model Performance
  Utilize standardized benchmarks to assess the efficacy of AI models in practical scenarios, ensuring robust performance metrics.
• Enhance Model Reasoning
  Engage with curated coding tasks that challenge AI to demonstrate comprehension and execution in programming environments.
• Evaluate Multimodal Performance
  Conduct comprehensive assessments of AI capabilities across various modalities, enhancing integration and usability.
• Simulation for Robust Evaluation
  Engage AI in realistic environments to ensure thorough testing and training of robust coding and robotic agents.
• Support Embodied Learning
  Provide comprehensive datasets to aid the development of AI that understands and interacts with physical environments.
• Tailor Data for Needs
  Fulfill specific project requirements with bespoke datasets designed for unique research or operational challenges.
• Specialized Dataset Access
  Leverage high-quality, field-specific datasets to enrich model understanding and accuracy in specialized domains.
• Promote Scientific Inquiry
  Utilize expertly curated datasets to enhance AI capabilities in solving scientific and mathematical problems.
• Access Curated Data
  Navigate a comprehensive catalog of data packs to streamline your project preparations and implementation.
• Train Advanced Robotics
  Use interactive game data to drive advancements in robotic perception and decision-making.

SWE-Bench++

Benchmark suite to evaluate coding agents on real GitHub tasks within containerized environments, featuring verified trajectories for reproducible assessment.

• Ensures Consistency During Evaluation
  By using containerized environments for evaluations, SWE-Bench++ minimizes variations, ensuring results are consistent and reliable.
• Utilizes Authentic Coding Challenges
  Coding agents are tested on actual tasks sourced from GitHub, allowing for realistic and relevant performance assessments.
• Supports Reproducible Assessment
  Verified trajectories ensure that assessments can be replicated across different evaluations, contributing to reliable model behavior insights.
• Offers Comprehensive Performance Insights
  SWE-Bench++ includes diverse metrics to offer a thorough understanding of coding capabilities, including correctness, efficiency, and responsiveness.

Code Review Bench

Code Review Bench is a benchmark suite designed for evaluating AI capabilities in code review tasks, utilizing curated evaluation tasks that reflect real-world scenarios in software development.

• Enhance Evaluation Accuracy
  These tasks allow for precise assessment of AI's understanding and performance in real-world code review settings.
• Ensure Quality Assurance
  Utilizing high-quality QA metrics ensures reliable benchmarking of AI models against industry standards.
• Simulate Real Development Workflows
  These environments track edits and test functionalities, providing valuable insights into AI performance in realistic settings.
• Broaden Assessment Scope
  Tasks encompass various programming languages, aiding in comprehensive evaluations of multilingual coding proficiency.
• Facilitate Consistent Testing
  Containerization allows for reproducible evaluations of AI performance across diverse coding tasks.

Hire AI Talent

Accelerate enterprise AI delivery by embedding AI-native talent and pods into your team and stack.

• Seamlessly Integrate Talent
  Enhance your project delivery capabilities by embedding expert AI teams directly into your workflows.
• Access Top Talent
  Leverage the expertise of elite AI professionals to tackle complex challenges effectively.
• Maximize Engagement Rate
  Ensure high productivity by connecting with talent that aligns perfectly with your needs.
• Extensive Talent Options
  Choose from a vast array of pre-qualified candidates for diverse roles.
• Quick Talent Acquisition
  Reduce downtime with a streamlined process for hiring AI experts.
• Diverse Global Network
  Expand your organization's reach with talent from a wide geographical area.

Develop AI Strategy

AI strategy and roadmap services to align AI capabilities with business outcomes and deliver tangible plans.

• Create Actionable Roadmaps
  Crafting detailed plans that outline steps and timelines ensures your AI projects are organized and on track.
• Ensure Business Goals Are Met
  Integrating AI goals with core business objectives facilitates the achievement of both operational efficiency and strategic growth.

Build AI Systems

Production-ready systems and workflows powered by frontier models; scalable enterprise deployments. Turing helps organizations develop and implement AI solutions tailored to their business needs, ensuring successful integration of intelligence into existing operations.

• Enable Seamless Deployments
  Turing's deployment readiness ensures enterprises can transition from pilot to full-scale integration without disruption, allowing for seamless operations.
• Implement Production-Sized Solutions
  Our systems are tested for real-world scenarios, ensuring they meet the demands of modern enterprise needs.
• Customize Workflows For Integration
  We design workflows specific to each organization’s processes, enhancing operational effectiveness and streamlining AI integration.
• Accelerate Talent Integration
  Access top AI talent to support and enhance your existing teams, ensuring a high level of expertise in your AI initiatives.
• Generate Data-Driven Decisions
  Utilize AI-driven analytics to better understand business performance and to make informed decisions that align with strategic objectives.

Deploy Proprietary AI

Deploy AI capabilities into production with scalable, KPI-aligned systems.

• Achieve Focused Outcomes
  Connect AI capabilities directly to business goals, enabling immediate practical applications.
• Ensure Seamless Transitions
  Facilitate a smooth transition from testing environments to full-scale production, ensuring operational continuity.
• Leverage Expert Collaboration
  Integrate skilled AI professionals into your team to enhance deployment capabilities and project outcomes.
• Drive Performance Accountability
  Establish measurable success metrics that align with your organization's strategic objectives.
• Facilitate Growth
  Create flexible architectures that can expand capabilities in response to changing market needs.