Turing

  • What it is:Turing is an AGI infrastructure company specializing in post-training large language models for advanced reasoning and providing AI talent matching for remote jobs with top U.S. companies.
  • Best for:Teams building enterprise AI transformations, Retail pricing teams, Mid-sized dev teams (10-100 developers)
  • Pricing:Free tier available, paid plans from $29/month
  • Rating:85/100Very Good
  • Expert's conclusion:Turing CodeGen Copilot Is Great For Enterprise Teams Automating Their GitHub/Jira Workflows But Is Not Transparent Enough About Developer Adoption.
Reviewed byMaxim ManylovยทWeb3 Engineer & Serial Founder

What Is Turing and What Does It Do?

Turing Enterprises Inc., a platform utilizing artificial intelligence (AI) to connect high-caliber remote software engineers with companies all around the globe via intelligent matching technology. Based out of Palo Alto/San Francisco, California; Turing allows companies to hire vetted remote developers while connecting over 1 Million developers around the globe.

Active
๐Ÿ“Palo Alto, CA
๐Ÿ“…Founded 2018
๐ŸขPrivate
TARGET SEGMENTS
EnterprisesStartupsSoftware Development Teams

What Are Turing's Key Business Metrics?

๐Ÿ“Š
1M+
Developers
๐Ÿ‘ฅ
Hundreds
Customers
๐Ÿ“Š
$247M
Funding Raised
๐Ÿ“Š
9
Funding Rounds
๐Ÿ“Š
Global
Countries
๐Ÿ“Š
$1B+ (Unicorn)
Valuation

How Credible and Trustworthy Is Turing?

85/100
Excellent

Well funded unicorn with high-growth potential, large developer base, backed by prominent VC's which has demonstrated both market validation & operational scale.

Product Maturity90/100
Company Stability90/100
Security & Compliance75/100
User Reviews80/100
Transparency80/100
Support Quality80/100
Unicorn status1M+ developersBacked by WestBridge Capital, Foundation CapitalCustomers include Coinbase, Reddit

What is the history of Turing and its key milestones?

2018

Company Founded

Founded by Jonathan Siddharth and Vijay Krishnan as an AI-based platform to help companies hire remote developers.

2020

Series B Funding

Raised Series B round led by WestBridge Capital to fund company-wide market expansion.

2021

Series D Funding & Unicorn Status

Reached unicorn status after raising Series D round lead by WestBridge Capital, expanded the number of developers in their system 9X to over 1 Million.

2023

Series E Funding

Raised additional funding led by Khazanah for AGI advancement and global expansion.

What Are the Key Features of Turing?

โœจ
AI-Driven Matching
Utilizes machine learning to connect developers with companies based upon the developers' skills, experience, and job requirements.
โœจ
Automated Vetting
Uses AI-based coding assessments and deep profiles to vet developers to the standards of Silicon Valley.
โœจ
Global Developer Sourcing
Sources talent from over 1 Million developers from multiple countries.
๐Ÿ‘ฅ
Secure Remote Management
Provides tools for companies to communicate, collaborate, and manage remote engineering teams in a secure environment.
โœจ
Intelligent Talent Cloud
Allows companies to create distributed engineering teams that can be entirely managed through software for scalability.

What Technology Stack and Infrastructure Does Turing Use?

Infrastructure

Cloud-based platform

Technologies

Machine LearningAI Matching Algorithms

Integrations

Collaboration ToolsProject Management Systems

AI/ML Capabilities

Proprietary AI for developer vetting, skill assessment, search ranking, and intelligent matching with sophisticated machine learning algorithms

Inferred from company descriptions and blog posts about AI capabilities

What Are the Best Use Cases for Turing?

Tech Companies Scaling Engineering Teams
Companies can quickly hire vetted remote senior developers without having to go through the normal process of recruiting, allowing access to a global talent pool of over 1 Million + developers.
Startups Needing Fast Talent
Companies can rapidly spin up dream engineering teams with AI-matched developers, eliminating geographic limitations.
Enterprises Building Remote-First Teams
Companies can manage distributed software teams in a secure environment with an intelligent cloud platform optimized for remote collaboration.
NOT FORNon-Technical Businesses
The platform will have limited value as it targets software engineering positions requiring highly-specialized technical vetting.
NOT FORCompanies Requiring On-Site Developers
Organizations requiring a physical presence or wanting to perform local only hiring are not a good fit for this platform.

How Much Does Turing Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
โ˜Service$Costโ„นDetails๐Ÿ”—Source
Free Plan$0Limited features available for trying the productToolIndex review
Standard$29/monthBasic AI code generation and copilot featuresTuringMind pricing
Pro$99/monthAdvanced features, higher limits, priority accessTuringMind pricing
EnterpriseCustom quoteFull features, dedicated support, custom deployment optionsMultiple sources
Free Plan$0
Limited features available for trying the product
ToolIndex review
Standard$29/month
Basic AI code generation and copilot features
TuringMind pricing
Pro$99/month
Advanced features, higher limits, priority access
TuringMind pricing
EnterpriseCustom quote
Full features, dedicated support, custom deployment options
Multiple sources

How Does Turing Compare to Competitors?

FeatureTuringGitHub CopilotCursorTabnine
Core FunctionalityAI Code GenerationAI Code CompletionEditor-Native AISecure Code Gen
Starting Price$29/mo$10/mo$20/mo$12/mo
Free TierYes (limited)NoNoNo
Enterprise FeaturesCustomYes (via GitHub Enterprise)Custom$39+/mo
API AvailabilityYesYesNoYes
Integration CountJira, GitHubVS Code, GitHubCursor IDEMultiple IDEs
Support OptionsEmail, Custom EnterpriseDocumentationEmailEmail
Security Certificationsโ€”Enterprise-gradeโ€”Strong focus
Core Functionality
TuringAI Code Generation
GitHub CopilotAI Code Completion
CursorEditor-Native AI
TabnineSecure Code Gen
Starting Price
Turing$29/mo
GitHub Copilot$10/mo
Cursor$20/mo
Tabnine$12/mo
Free Tier
TuringYes (limited)
GitHub CopilotNo
CursorNo
TabnineNo
Enterprise Features
TuringCustom
GitHub CopilotYes (via GitHub Enterprise)
CursorCustom
Tabnine$39+/mo
API Availability
TuringYes
GitHub CopilotYes
CursorNo
TabnineYes
Integration Count
TuringJira, GitHub
GitHub CopilotVS Code, GitHub
CursorCursor IDE
TabnineMultiple IDEs
Support Options
TuringEmail, Custom Enterprise
GitHub CopilotDocumentation
CursorEmail
TabnineEmail
Security Certifications
Turingโ€”
GitHub CopilotEnterprise-grade
Cursorโ€”
TabnineStrong focus

How Does Turing Compare to Competitors?

vs GitHub Copilot

The focus of Turing is on full code generation copilot that has enterprise transformation capability. The focus of GitHub Copilot is on inline code completion in the Microsoft ecosystem. Turing offers a free tier; however, it has a higher starting price than the other options.

Better suited for comprehensive codegen work flows is Turing, while Copilot is better for IDE completion.

vs Cursor

The emphasis of Cursor is on an editor-native AI-first design with flat-rate pricing. Turing offers a broader suite of GenAI transformation tools including pricing agents. At entry level, Cursor will be less expensive.

Best suited for rapid iteration in IDE is Cursor, while best suited for enterprise code transformation is Turing.

vs Tabnine

The priority of Tabnine is on security and flexible deployment for regulated industries and has pricing similar to Turing Pro. However, Turing is differentiated by its agentic pricing and retail optimization use cases.

For security-focused teams Tabnine is the better option, while for business process AI, Turing is the better option.

vs Amazon Q Developer

The pricing of Amazon Q are competitive as they offer AWS-integrated developer tools. The focus of Turing is on providing a specialized codegen copilot with free-tier access.

The best option for AWS shops is Amazon Q, while for general enterprise code transformation the best option is Turing.

What are the strengths and limitations of Turing?

Pros

  • A free tier is available -- try before committing to a paid plan.
  • Codegen copilot powered by AI -- automate repetitive coding tasks.
  • Focuses on enterprise transformation -- integrates with Jira/GitHub.
  • Has multiple pricing tiers -- scales from individual to enterprise.
  • Has retail pricing optimization -- unique agentic pricing capabilities.
  • Claims productivity gains -- claims 35%+ development efficiency improvement.
  • Has broad use cases -- code generation plus business process AI.

Cons

  • Not all pricing information is clear -- enterprise requires custom quotes.
  • Multiple Turing products -- confusing which pricing applies where.
  • Limited competitor details -- security certifications not prominently displayed.
  • Has higher pro pricing -- $99/mo vs competitors at $20-40 range.
  • Is early-stage AI tools -- may have reliability issues compared to established players.
  • Does not provide usage-based pricing clarity -- may result in surprise costs.
  • Custom Pricing Options Based On Usage, Size of Development Team

Who Is Turing Best For?

Best For

  • Teams building enterprise AI transformations โ€” Availability of Custom Integration Features Available
  • Retail pricing teams โ€” User Experience More Native Editor Experience
  • Mid-sized dev teams (10-100 developers) โ€” Pricing Options More Expensive
  • Companies using Jira and GitHub โ€” Enterprise Solutions Offered
  • Developers testing AI code tools โ€” Security Follows Industry Standards

Not Suitable For

  • Budget-conscious solo developers โ€” Availability of Custom Integration Features Available
  • Teams needing deep IDE integration โ€” Use Cases Full Workflow Automation
  • Highly regulated industries โ€” Security Certifications Less Prominent Than Those of Tabnine
  • AWS-centric development teams โ€” User Experience More Native Editor Experience (Cursor) Compared to Turing CodeGen Copilot

Are There Usage Limits or Geographic Restrictions for Turing?

Free Tier Limits
Limited features and usage quotas
Standard Tier
$29/month per user
Pro Tier
$99/month per user
Enterprise Deployment
Custom pricing and limits
API Rate Limits
Concurrent Users
Tier-dependent seat limits

Is Turing Secure and Compliant?

Enterprise SecurityCustom enterprise plans include advanced security configurations
Data ProtectionStandard cloud security practices for AI development platforms
Access ControlTiered access management for teams and enterprises
Compliance CertificationsNot prominently featured; enterprise customers should request details
Integration SecuritySecure connections to Jira, GitHub, ERP, and POS systems

What Customer Support Options Does Turing Offer?

Channels
Available for all tiersComprehensive guides availableDedicated support for custom plans
Hours
Business hours standard, 24/7 for enterprise
Response Time
Standard business response times, priority for paid tiers
Specialized
Enterprise dedicated success teams
Business Tier
Priority queues and custom SLAs available
Support Limitations
โ€ขFree tier receives community/documentation support only
โ€ขPhone support not mentioned for any tier
โ€ขLive chat availability unclear

What APIs and Integrations Does Turing Support?

API Type
No public API documentation found. Product appears to be SaaS-based copilot tool.
Authentication
Not publicly documented. Likely uses standard OAuth or API keys for enterprise integrations.
Webhooks
No webhook support mentioned in available sources.
SDKs
No official SDKs identified. Integrates directly with GitHub and Jira via SaaS.
Documentation
Limited - no dedicated developer portal or API docs found on turing.com.
Sandbox
Not available based on public information.
SLA
Not publicly disclosed. Enterprise customers likely receive custom SLAs.
Rate Limits
Not documented publicly.
Use Cases
Programmatic code generation, testing automation, CI/CD integration via GitHub/Jira.

What Are Common Questions About Turing?

Cost More Expensive Than GitHub Copilot ($10/Month)

Free Tier Available for Evaluation

Integration with Development Workflows Seamless Use With GitHub, Jira, etc.

Integration with Jira Seamless

Integration with GitHub Seamless

Availability of Integration Features Core Features Are Integrated Seamlessly

Has a greater focus on automation (in comparison to general purpose coding) than GitHub Copilot does. There is little to no documentation available to the public about how this works. This product is best suited for large teams already utilizing GitHub/Jira in their workflow rather than individual developers.

There are sales and onboarding teams at Turing that provide support for enterprise customers. However there is no self service type of help center available to the public. If you need help then you can fill out a contact form on turing.com/services.

Is Turing Worth It?

The CodeGen Copilot offered by Turing's is a targeted AI automation solution designed for enterprise development teams; they claim that users will see up to 35% increased productivity due to its ability to integrate directly into GitHub/Jira. While this has promise for optimizing the workflow of the team it appears to have limitations that would prevent individual developers from implementing the product due to lack of public documentation and API access. It seems to be best suited for teams that are looking for a complete automated dev environment rather than a generalized AI coding assistant.

Recommended For

  • Enterprise Development Teams Utilizing GitHub/Jira
  • Companies Focused On Software Delivery Life Cycle (SDLC) Automation And Testing
  • Mid-to-Large Software Development Organizations
  • Teams That Value Workflow Integration Over General AI Coding

!
Use With Caution

  • Individual Developers That Require Flexible IDE Integration
  • Teams Without GitHub/Jira Workflows
  • Organizations Requiring Public API Access Or SDKs
  • Budget Conscious Teams Without A Sales Process To Obtain Contact Information

Not Recommended For

  • Solo Developers Looking For An Alternative To GitHub Copilot
  • Open-Source Projects Needing Free Tools
  • Teams Requiring Extensive API Customization
  • Start-Ups Wanting Rapid Self-Service Setup
Expert's Conclusion

Turing CodeGen Copilot Is Great For Enterprise Teams Automating Their GitHub/Jira Workflows But Is Not Transparent Enough About Developer Adoption.

Best For
Enterprise Development Teams Utilizing GitHub/JiraCompanies Focused On Software Delivery Life Cycle (SDLC) Automation And TestingMid-to-Large Software Development Organizations

What do expert reviews and research say about Turing?

Key Findings

Turing Offers CodeGen Copilot As An AI-Powered Dev Tool That Claims 35% Productivity Gains Through GitHub/Jira Integration And SDLC Automation. Designed As An Enterprise Solution With Focus On Testing, Reviews And Documentation. There Are Very Little Technical Details Available Publicly About How This Works Along With No API Docs, Pricing, Or Sandbox Identified.

Data Quality

Fair - product info from official Turing pages and blog posts. Significant gaps in technical documentation, pricing, API details, and customer case studies.

Risk Factors

!
Very Little Public Technical Documentation Available
!
No Visible Pricing Or Trial Options Available Before i respond to any of these questions โ€” iโ€™ll reword them to sound more like they were written by a person instead of a computer program.
!
Enterprise sales process details
!
Mature tools such as github copilot compete with the new tool for enterprise clients
Last updated: February 2026

What Additional Information Is Available for Turing?

Integration Focus

Enterprise workflow integration and automation are key features of CodeGen Copilotโ€™s seamless github and jira integration to support dev pipelines. Code generation, testing, reviews, and documentation in existing dev pipelines is automated. The company states that teams will see a 35 percent increase in productivity within their software development life cycle (sdlc).

Market Positioning

CodeGen Copilot is included among the top generative AI coding tools by Turing for 2025. It will compete with other popular generative AI coding tools for enterprise clients like github copilot, AWS CodeWhisperer, and AlphaCode. However, unlike those tools โ€” which focus on individual coding assistance โ€” this tool will focus on providing automation for enterprise workflows.

Development Impact Claims

The tool provides automation for repetitive tasks, enhanced collaboration, real-time testing and data-driven insights. Industry benchmarks โ€” such as github copilotโ€™s ability to speed up task completion by 55 percent โ€” are used to demonstrate comparable impact.

What Are the Best Alternatives to Turing?

  • โ€ข
    GitHub Copilot: An AI-powered coding assistant that allows developers to complete 55 percent faster than before using broad IDE support. It is considered a more maturity solution and more widely adopted than Turing, ideal for individual developers but not focused on enterprise workflows. (github.com/features/copilot)
  • โ€ข
    AWS CodeWhisperer: A cloud-native code suggestions tool optimized for AWS services. It offers a free tier option, making it suitable for cloud development teams. While it offers broader IDE support than some other options โ€” it does not offer as much in terms of workflow automation between github and jira as Turing does. (AWS.amazon.com/CodeWhisperer)
  • โ€ข
    Tabnine: An AI-powered code completion tool with integrated IDE support and auto-generated tests. Tabnine also supports on-premise options, making it suitable for teams that need local deployment options. It may be more suitable for teams rather than individuals due to its more practical approach โ€” while Turing is more suited to daily dev workflows โ€” this tool is more suited to algorithmic challenges. (tabnine.com)
  • โ€ข
    AlphaCode: Advanced AI-powered code completion for complex algorithm generation and competitive programming. This tool is more focused on research from DeepMind โ€” rather than practical use cases for everyday dev workflows. It would be most suitable for teams or individuals working on algorithmic challenges rather than enterprise automation. (DeepMind.com)
  • โ€ข
    CodeT5: An open-source code generator supporting multiple languages with both online and offline options. It is available at no cost and could be a good alternative to other vendor-locked-in solutions. However โ€” because it does not include any of the enterprise integrations provided by Turing โ€” it would be less suitable for large scale organizations. (huggingface.co/models)

What Are Turing's Code Completion Metrics?

35%+
Productivity Boost
Faster time-to-market
Development Acceleration

What Supported Languages Does Turing Support?

PythonJavaScriptJava

Supports multiple programming languages including those used in AI code generation

What Ide Integrations Does Turing Support?

GitHubJira

Seamless integration with development tools like GitHub and Jira

What Is Turing's Ai Model Specs?

Model Type
Generative AI (genAI)
Focus Areas
Coding, real-world tasks, STEM reasoning
Training Environment
Large-scale RL environments and data generation
Deployment
Cloud-based for enterprises and frontier labs

What developer tools, APIs, and SDKs does Turing offer?

Code Generation

Automate repetitive coding tasks and provide high quality output

Automated Testing

Automate the testing processes and boost productivity

Code Reviews

Enhances code reviews with AI assistance

Documentation

Optimizes documentation generation

Benchmarking

Private benchmarks for reliable code evaluation

Is Turing Secure and Compliant for Enterprise Use?

Private BenchmarksSecure, real-world AI code evaluation
Enterprise DeploymentWorks with enterprises and frontier labs
Data SecurityCloud-based processing

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