Turing
Editor's pick #1AGI infrastructure and elite engineering talent for agent systems
Founded 2018 | Palo Alto, CA, USA | 1000+ employees | Last updated: August 2026
coding-agentsagent-orchestrationmulti-agent-systemsmonitoring-agents
What is Turing?
Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California, with an engineering bench reported between roughly 1,000 and 6,995 depending on source. The company has evolved from a talent-as-a-service model into advanced AGI infrastructure work, focusing on AI reasoning, complex problem-solving, and sophisticated coding capabilities for agent systems.
Turing was founded in 2018 and is headquartered in Palo Alto, CA, USA. The firm employs 1000+ people and works primarily with clients in SaaS, Fintech, Healthcare sectors. Its primary differentiator is: Deep AGI-infrastructure focus (reasoning, coding, complex problem-solving) backed by a very large vetted engineering bench.
Turing tech stack and services
LangGraphAutoGenOpenAIAnthropic ClaudeAWSKubernetes
| Service area | Details |
|---|---|
| Reasoning-heavy agent system engineering | Available for SaaS, Fintech, Healthcare clients |
| Elite technical talent augmentation | Available for SaaS, Fintech, Healthcare clients |
| Coding agent development | Available for SaaS, Fintech, Healthcare clients |
Turing use cases
Short answer: Turing is best suited for engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems.
| Use case | Industries | Approach |
|---|---|---|
| Reasoning-heavy agent system engineering | SaaS, Fintech | LangGraph, AutoGen |
| Elite technical talent augmentation | SaaS, Fintech | LangGraph, AutoGen |
| Coding agent development | SaaS, Fintech | LangGraph, AutoGen |
Turing pricing
Short answer: Turing uses a dedicated team, t&m pricing approach. Minimum engagement starts at $40K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Turing does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Turing pros and cons
| Advantages | Things to consider |
|---|---|
| +Very large vetted engineering bench supports rapid, high-caliber team scaling | -High marketing visibility means buyers should verify project-specific technical fit rather than relying on brand alone |
| +Genuine AGI-infrastructure specialization in reasoning and coding capabilities, not generic staffing | -Talent-marketplace roots mean less full-project ownership than an agency-style delivery firm on some engagements |
| +$247M+ raised and $2.2B valuation provide strong financial backing and stability |
Turing vs alternatives
How Turing compares to the other top AI Agent developers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Spiral Scout | CTOs who want to evaluate a vendor's own... | Built and maintains its own agent orchestration runtime (Wippy.ai), plus certified Temporal Solution Provider status | 4.5 | Full comparison |
| Tensorway | Teams that need a senior, agent-specialist team without... | 100% of delivery staff are senior AI engineers — no junior bench, no agent-to-generalist handoff | 4.3 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting a boutique team... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small team size | 4.2 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 4.1 | Full comparison |
| SoftServe | Enterprises wanting a three-decade engineering firm with deep... | 30+ years of engineering discipline applied to a documented spec-driven approach for agentic workflows | 4.1 | Full comparison |
| N-iX | Enterprises needing large-scale, multi-year AI agent engineering programs... | 2,400+ engineers with 20+ years of engineering track record predating its agentic AI practice | 4.0 | Full comparison |
| Waverley Software | Technical buyers in FinTech, Healthcare, or Robotics wanting... | 30+ years of engineering history explicitly repositioned as AI-first, with deep vertical domain experience (Robotics, Energy, FinTech) | 4.0 | Full comparison |
| Andersen | Enterprises wanting a single vendor with true multi-vertical... | 3,500+ engineers with named vertical specialization across 7+ industries, not a single-domain shop | 3.9 | Full comparison |
| Ascendion | Global 2000 buyers wanting an AI-native engineering firm... | Built from inception (2022) around AI-powered engineering rather than retrofitting AI onto a legacy delivery model | 3.9 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent features embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.9 | Full comparison |
| Innowise | Buyers wanting large-scale offshore delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.8 | Full comparison |
| Ideas2IT | Engineering-heavy buyers interested in AI-augmented software delivery, not... | Proprietary Agentic SDLC Studio applying agents to its own software delivery process, not just client-facing products | 3.8 | Full comparison |
| Trantor | Enterprises wanting a dedicated, captive engineering center rather... | CaptiveCoE™ model gives clients a dedicated center of excellence rather than a shared delivery pool | 3.8 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied agent-building capability | 3.7 | Full comparison |
| Kanerika | Data-heavy enterprises wanting agents tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic client demos | 3.7 | Full comparison |
| Quytech | Buyers wanting agentic AI paired with computer vision... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.7 | Full comparison |
| Matellio | Enterprises wanting AI agents built alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.7 | Full comparison |
| Sombra | Buyers wanting a mid-size dedicated-team partner with a... | Founder-led (Viktor Chekh) firm with over a decade of full-cycle engineering ahead of its AI/ML expansion | 3.7 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Instinctools | Enterprises wanting a long-tenured European engineering partner for... | 25 years of continuous engineering delivery under the same founding leadership, spanning Germany and the US | 3.6 | Full comparison |
| Miquido | Product-focused technical teams wanting an analyst-recognized AI engineering... | Independently recognized by Clutch as a Global Leader in Artificial Intelligence, not just self-marketed | 3.6 | Full comparison |
| EffectiveSoft | Buyers wanting established Eastern European engineering depth under... | 25 years of software delivery history with dedicated Eastern European development centers | 3.5 | Full comparison |
| Azumo | Buyers wanting nearshore delivery cost savings without giving... | Primarily referral-driven client base including named enterprise brands (Meta, UnitedHealth) | 3.5 | Full comparison |
| DevSquad | Early-to-growth-stage product teams wanting agent development paired with... | Combines product-market-fit strategy work with AI agent development, useful for teams still validating their product | 3.5 | Full comparison |
| Cogniteq | EU-based buyers wanting a Baltic-region engineering partner with... | 20 years of full-cycle software delivery based in the EU (Lithuania), useful for EU data-residency needs | 3.5 | Full comparison |
| Deviniti | Teams already on Atlassian tooling wanting AI agents... | Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration experience | 3.4 | Full comparison |
| DevCom | Buyers wanting a single US-HQ vendor to own... | Full lifecycle ownership (strategy through production support) under one US-headquartered vendor | 3.4 | Full comparison |
| Softermii | Startups wanting a US-facing account team backed by... | Dedicated Kyiv R&D center paired with US-based (LA/Vegas) client-facing presence | 3.4 | Full comparison |
| Codebridge Technology | Cost-sensitive buyers wanting a Delaware-incorporated vendor with Ukrainian... | US legal incorporation (Delaware) paired with Kyiv-based engineering delivery for contracting simplicity | 3.4 | Full comparison |
| Uvik Software | Startups needing one or two senior Python/AI engineers... | Narrow staff-augmentation model of individual senior Python/AI/ML specialists at low minimum spend | 3.3 | Full comparison |
| Riseup Labs | Highly cost-sensitive buyers who need ISO-certified process rigor... | ISO 9001 and 27001 certification brings documented process/security rigor at a low-cost delivery base | 3.3 | Full comparison |
Turing FAQ
What is Turing?
Turing was founded in 2018 by Jonathan Siddharth and Rohan Aroe and is headquartered in Palo Alto, California, with an engineering bench reported between roughly 1,000 and 6,995 depending on source. The company has evolved from a talent-as-a-service model into advanced AGI infrastructure work, focusing on AI reasoning, complex problem-solving, and sophisticated coding capabilities for agent systems.
How much does Turing charge?
Turing uses dedicated team, t&m pricing. Minimum engagement starts at $40K. A discovery call is required to get project-specific quotes.
What tech stack does Turing use?
Turing works with LangGraph, AutoGen, OpenAI, Anthropic Claude, AWS, Kubernetes. Primary industries served include SaaS, Fintech, Healthcare.
Is Turing right for enterprise?
Engineering-heavy teams needing elite technical talent for reasoning-heavy agent systems. 1000+ team size. Key consideration: High marketing visibility means buyers should verify project-specific technical fit rather than relying on brand alone.
What are the best Turing alternatives?
The best alternatives to Turing depend on your use case. Top options are:
- Spiral Scout: built and maintains its own agent orchestration runtime (wippy.ai), plus certified temporal solution provider status
- Tensorway: 100% of delivery staff are senior ai engineers — no junior bench, no agent-to-generalist handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small team size
Compare Turing with other AI Agent developers
Turing vs Spiral Scout Turing vs Tensorway Turing vs Vstorm Turing vs Grid Dynamics Turing vs SoftServe Turing vs N-iX Turing vs Waverley Software Turing vs Andersen Turing vs Ascendion Turing vs GeekyAnts Turing vs Innowise Turing vs Ideas2IT Turing vs Trantor Turing vs Netguru Turing vs Kanerika Turing vs Quytech Turing vs Matellio Turing vs Sombra Turing vs Intuz Turing vs Azilen Technologies Turing vs Instinctools Turing vs Miquido Turing vs EffectiveSoft Turing vs Azumo Turing vs DevSquad Turing vs Cogniteq Turing vs Deviniti Turing vs DevCom Turing vs Softermii Turing vs Codebridge Technology Turing vs Uvik Software Turing vs Riseup Labs
Last reviewed: August 2026. Verify all details directly with Turing before making a decision.