--- title: "Wavect vs Turing" canonical: https://wavect.io/compare/wavect-vs-turing/ language: en description: "Turing's buyer-facing pages split its offer into Frontier AI, training and improving models, and Enterprise AI, deploying and scaling agents, on top of a …" image: "https://wavect.io/img/general/bak/open_graph_preview.jpg" --- WAVECT vs TURING # Wavect or Turing. Global AI delivery at scale, or operator-grade product judgement on a sprint. Turing’s buyer-facing pages split its offer into Frontier AI, training and improving models, and Enterprise AI, deploying and scaling agents, on top of a deep-vetted engineering talent network whose published figure is four days to fill most roles. We run discovery, scope a sprint, and put a founder plus engineer in the room on every call. Turing’s strength is scaled access to AI capability. Ours is keeping product judgement and implementation under the same accountable operators. Independent comparison published by Wavect. Not affiliated with or endorsed by Turing. Illustrative buyer scenario, not a customer quotation A perfect technical match still leaves the question of who is in the room arguing about what to build. TL;DR Turing now spans AI training data, evals, production AI systems, and AI-native talent, with talent starts averaging about four days. We scope a sprint and put a founder plus engineer in the room. Global AI delivery against operator-grade product judgement. Different jobs. // 01 ## Decision snapshot VerdictThe practical split: Turing is the leaner pick when the ticket is defined and start speed decides it, and its developer hiring page publishes four days to fill most roles, sometimes same day. [1](#cmp-src-1) Wavect is the leaner pick when the open question is what to build rather than who to slot in. ### Wavect is best when - The product question is open. You need someone arguing about the brief, not executing it cleanly. - Your contracting needs an EU counterparty: GDPR, [Werkvertrag](/glossary/sow/), invoice in euros, EN or DE delivery. - You want founder-grade pushback in the room when the call is ‘should we even build this’. ### The alternative is best when - The ticket is well defined and the tech stack is mainstream. Turing describes an AI-powered deep-vetting talent platform, which needs a clear brief to work from. [1](#cmp-src-1) - You already have engineering leadership in house to direct contractors. Scope ownership is solved on your side. - Start speed matters more than product judgement. Turing publishes four days to fill most roles, sometimes same day, alongside a three-week risk-free trial. [1](#cmp-src-1) [2](#cmp-src-2) ### Questions to ask before you choose 1. Turing publishes four days to fill most roles, sometimes same day. [1](#cmp-src-1) Beyond that start date, ask which specific engineers are assigned to your work and what keeps them on it for the full engagement. Ask us the same question about who stays on the sprint. 2. For the Frontier AI line, training and improving models, ask what the contract says about who owns the resulting data, models and IP. [3](#cmp-src-3) Put the identical question to us about the code we write for you. 3. With matched talent or a managed delivery team, ask who owns product direction and where scope ownership is written into the paperwork. We found no public page fixing that split on 4 August 2026, so it belongs in the statement of work. [3](#cmp-src-3) ### Commercial risk to watch - We reviewed Turing’s developer hiring pages and its terms of service on 4 August 2026 and found no published rates, rate card or billing model. [1](#cmp-src-1) [4](#cmp-src-4) That is normal for enterprise contracting and it is not a criticism. It does mean the only number you can compare against ours is the one in your own proposal. - Ask what the vendor is paid to increase: hours, seats, retained advice, platform usage, or shipped outcomes. Ask us the same question and make us answer it first. ### Evidence notes - The four-day figure on this page is Turing’s own published wording, read on 4 August 2026: four days to fill most roles, sometimes same day. [1](#cmp-src-1) [2](#cmp-src-2) It is a vendor statement about its own speed, not a measurement we made, and published figures change. - This comparison is about two delivery models. It makes no claim about the skill, conduct or quality of any individual engineer in Turing’s network, and none is intended. // 02 ## Project fit: not limited to small builds Project size and provider headcount are separate decisions. Wavect’s delivery unit is a named senior core, but that does not limit the work to MVPs or short startup projects. Larger projects are split into phases with separate budgets and acceptance criteria. We also build internal systems and process automations inside a client’s existing repositories, tooling and workflows. A vetted bench supports continuity and scope-specific capacity. A larger provider may still be the better choice when the main requirement is several parallel teams, an incumbent framework agreement or certifications Wavect does not currently hold. // 03 ## How they actually differ Six dimensions where Turing and Wavect actually diverge. | WAVECT | DIMENSION | ALTERNATIVE | | --- | --- | --- | | Weekly outcome fee. From €400 per week, or €10,000 to €30,000 per month for full-stack delivery. No timesheets. | PRICING MODEL | We found no published rates, rate card or billing model on Turing’s developer hiring pages or in its terms of service on 4 August 2026. [1](#cmp-src-1) [4](#cmp-src-4) What is published is the shape of the offer: Frontier AI model work, Enterprise AI agent delivery, and vetted engineering talent. [3](#cmp-src-3) Any number you compare against ours therefore comes from your own proposal, not from a public page. | | Next-day start when scope is clear and senior capacity is available. Senior-only by design; a founder selects and starts with the engineer. | MATCHING / VETTING | Turing describes an AI-powered deep-vetting talent platform selecting from the top 1 percent of more than 3 million engineers who have applied, across more than 100 skills, and publishes four days to fill most roles, sometimes same day. [1](#cmp-src-1) A three-week risk-free trial period is published alongside it. [2](#cmp-src-2) | | Founder plus engineer on every call. Two perspectives in the room. | WHO YOU ACTUALLY TALK TO | Matched talent or a managed delivery team, depending on the service, with Turing’s own account and delivery structure. [3](#cmp-src-3) Its buyer-facing overview names two lines, Frontier AI and Enterprise AI. [3](#cmp-src-3) | | We advise AND ship. The same person who wrote the doc writes the code. | SCOPE OWNERSHIP | Defined talent engagements keep scope with the client. For the Frontier AI and Enterprise AI lines we found no public page on 4 August 2026 that fixes who owns product direction, so confirm the split in the statement of work. [3](#cmp-src-3) | | EU-native. 17 countries served. EN and DE delivery, native German on both founders. | CONTRACTING FRAME | Turing’s terms of service name Turing Enterprises, Inc. at a San Francisco, California address, and state that the terms are governed by the laws of California. [4](#cmp-src-4) Whether a US counterparty under California law works for your procurement is a question for your own legal team, and you should put the same question to us about an Austrian counterparty. | | Refund the last week if it did not blow you away. Cancel any week. | WHAT IF IT FAILS | A three-week risk-free trial period is published on Turing’s developer hiring pages. [2](#cmp-src-2) [1](#cmp-src-1) Beyond the trial we found no published commercial remedy in the terms of service on 4 August 2026, so confirm remedies in the statement of work. [4](#cmp-src-4) | // 04 ## The real difference, in practice Turing has moved beyond developer matching. Its buyer-facing overview splits the offer into Frontier AI, training and improving models, and Enterprise AI, deploying, managing and scaling agents, and puts the pool at more than 5 million domain experts across more than 300 reinforcement-learning environments. [3](#cmp-src-3) Its developer hiring pages publish four days to fill most roles, sometimes same day, together with a three-week risk-free trial. [1](#cmp-src-1) [2](#cmp-src-2) If you need scaled AI capability or a fast specialist start, that machinery is a genuine strength. Two notes on how we read those numbers, so you can check them yourself. The four-day figure is Turing’s own published claim about its own speed, so treat it as a vendor claim and ask what it means for your stack. [1](#cmp-src-1) And Turing describes an AI-powered deep-vetting platform selecting from the top 1 percent of more than 3 million engineers who have applied, covering more than 100 skills; that is a statement about a funnel, not about the individual who lands on your ticket. [1](#cmp-src-1) Our equivalent is not a faster algorithm. It is that both founders are in the room on every engagement, so the senior bar is structural rather than scored, and the work starts with scoping a sprint instead of filling a seat. Be honest about which job you have. Turing scales further on match volume for defined work. We scale further on operator judgment when the open question is what to build, not who to slot in. If you need a vetted contributor for clear work, fast, Turing is the tool. If you need someone arguing about the roadmap, that is us. See [how we scope a sprint](/services/software-development/). // 05 ## When each is the better call // 01 ### When Wavect is the better call - The product question is open. You need someone arguing about the brief, not executing it cleanly. - Your contracting needs an EU counterparty: GDPR, [Werkvertrag](/glossary/sow/), invoice in euros, EN or DE delivery. - You want founder-grade pushback in the room when the call is ‘should we even build this’. - You need one bill, one accountability line, both advice and implementation from the same operator. // 02 ### When Turing is the better call - The ticket is well defined and the tech stack is mainstream. Turing describes an AI-powered deep-vetting talent platform, which works from a clear brief. [1](#cmp-src-1) - You already have engineering leadership in house to direct contractors. Scope ownership is solved on your side. - Start speed matters more than product judgement. Turing publishes four days to fill most roles, sometimes same day. [1](#cmp-src-1) - Your procurement is comfortable with a US counterparty. Turing’s terms of service name Turing Enterprises, Inc. in San Francisco, governed by the laws of California. [4](#cmp-src-4) If the bullets on the right describe your situation, Turing is the leaner pick. If the bullets on the left describe it, talk to us. // 06 ## Relevant Wavect work - [SERVICE Custom Software Development](/services/software-development/) - [SERVICE Fractional Co-Founder](/services/fractional-cofounder/) - [CASE STUDY Twinsoft AI: vibe-coded prototype rebuilt into MVP in two weeks](/case-studies/twinsoft-ai/) - [CASE STUDY PromptID: 0 to production in 6 weeks, pilot and investor demo ready](/case-studies/promptid/) - [GUIDE How to choose a software development agency](/software-development-guide/how-to-choose-a-software-agency/) // 07 ## FAQs ### How does Turing's vetting compare to Wavect's? Different mechanisms, and there is no like-for-like metric to rank them on. Turing describes an AI-powered deep-vetting talent platform selecting from the top 1 percent of more than 3 million engineers who have applied, and it also delivers Frontier AI model work and Enterprise AI agent delivery. [1](#cmp-src-1) [3](#cmp-src-3) Our equivalent is not a matching pipeline: both founders are in the room and choose the senior team around the product outcome. Turing scales further on AI capacity. We keep operator judgement closer to the roadmap. ### Is Wavect faster to start than Turing? Sometimes. Turing’s developer hiring pages publish four days to fill most roles, sometimes same day. [1](#cmp-src-1) [2](#cmp-src-2) We can start the next day when the scope is clear and senior capacity is available. Those two numbers are not measured the same way, so treat both as published claims rather than a race result. Turing’s advantage is global network scale; ours is that a founder and the senior engineer start together, with product judgement already inside the engagement. ### Can Wavect work on a Turing-style hourly model? We bill weekly outcomes, not hours. We found no published billing model on Turing’s developer hiring pages or in its terms of service on 4 August 2026, so ask Turing directly what it bills on rather than assuming from this page. [1](#cmp-src-1) [4](#cmp-src-4) If time-based billing is non-negotiable on your side, a talent platform is a better fit than we are. ### Do you compete with Turing for the same buyer? Rarely directly. Turing’s terms of service name a US contracting entity in San Francisco under California law, and its buyer-facing overview leads with frontier AI model work rather than product delivery for early-stage companies. [4](#cmp-src-4) [3](#cmp-src-3) Our buyer base is EU and more often pre product-market fit. The overlap exists when an EU founder is comparing operator-grade fractional against a vetted talent network. ### Do you ever recommend Turing in a discovery call? Yes. When the founder has a clean ticket queue, engineering leadership in house, and a hard deadline on start speed, Turing is a more efficient answer than we are. We will say so. Source: [turing.com](https://www.turing.com) Last reviewed: 2026-08-04 by [Kevin Riedl](/team/kevin-riedl/) [wiki ↗](https://www.wikidata.org/wiki/Q139796365) ## Sources for the statements about Turing Every numbered claim above links to the source we checked, with the date we checked it. Linking a source is not a partnership or an endorsement. 1. [Developer hiring page: the published time to fill most roles, the deep-vetting description, applicant funnel, skills covered, and the risk-free trial](https://www.turing.com/hire/software-developers) Turing. retrieved 2026-08-04 2. [Freelance developer hiring page: the same published time to fill most roles and the three-week risk-free trial period](https://www.turing.com/hire/freelance-developers) Turing. retrieved 2026-08-04 3. [Buyer-facing overview: the Frontier AI and Enterprise AI lines and the published size of the domain-expert pool](https://www.turing.com/hire-developers) Turing. retrieved 2026-08-04 4. [Terms of service: contracting entity, registered address, governing law, and the absence of published fees](https://www.turing.com/terms-of-service) Turing. retrieved 2026-08-04 About this comparison This is an independent comparison published by Wavect. We are not affiliated with, endorsed by, or partnered with the companies named here, and all third-party company names, brands and trademarks are the property of their respective owners. Statements about other providers are taken from publicly available sources, primarily their own published pages, as of the review date shown on this page, and may have changed since; please verify them directly before deciding. Each individual comparison lists the sources for its statements about the other provider, with the date each source was checked. Any buyer scenarios shown are illustrative examples only, not quotations from or accounts by actual customers. This comparison was written to the best of our knowledge and with the intent to remain objective. If you believe anything here is inaccurate or unfair, please reach out and we will correct it. [office@wavect.io](mailto:office@wavect.io) ## Still weighing the options? Tell us what you are building. 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