How the firms differ

FDE firms that also sell their own platform

Some forward deployed engineering firms sell two things: engineers who work inside your team, and their own software that your new system then runs on. In this guide, Distyl AI, Grid Dynamics, Turing and Tredence describe their own platforms on their own pages. Other firms have ties to an AI model maker or a cloud provider, and two say they are neutral about which tools a client uses. This page shows what each firm states, who states it, what a platform changes in the contract, and which questions to ask before you sign.

Published October 21, 2026. Editorial.

Key takeaways

  • Distyl AI says it deploys its own purpose-built products alongside its engineers. Grid Dynamics says its FDEs deliver its GAIN platforms. Turing pairs its FDEs with its own AI control plane. Tredence says its FDEs are backed by atom, its own AI stack.
  • TechCrunch reports that Anthropic part-owns Ode with Anthropic. Caylent and HatchWorks AI build their FDE offers around Anthropic's Claude, by their own account, and news reports link Percepta to AWS and Anthropic and Distyl AI to OpenAI.
  • Factored says it is neutral about models, clouds and platforms, and Tredence says its FDEs work across the tools a client already has.
  • If a firm's platform is part of your system, the contract should cover its licence after the engagement ends, its yearly cost, and how you take your data out.

Some forward deployed engineering firms sell their engineers and also their own software. The engineers build your system, and part of that system runs on a platform the firm owns. A platform here means software the firm owns and licenses to clients, which your system needs in order to run. A licence is the legal permission to use software, with its terms and its price.

That model can help. The firm brings parts that are already built, and its engineers know them well. It also creates a tie. Your system may need the firm's software after the engagement ends, and you will pay for it for as long as you use it. This page shows which firms in this guide say they sell a platform, which are tied to another company's models or cloud, and which say they are neutral. Every page was read on 20 October 2026.

Where the pattern comes from

Wikipedia says the forward deployed engineer title was made popular by a software company, Palantir [18]. Marty Cagan of SVPG wrote in September 2025 that, although many people think of Palantir as a consulting or custom software company, he considers Palantir a product company [11]. Joe Schmidt of a16z wrote in June 2025 that at the best companies selling complex AI applications, the person who makes the product work for each customer is often a professional services employee, "sometimes rebranded as a forward deployed engineer" [12]. In both accounts, the engineers work for a company that sells its own product. Cagan writes that each Palantir FDE builds prototypes, meaning early working versions, using Palantir's own platform services.

The firms in this guide sell the engineers as their main offer. Some of them also bring a product, and that is the case this page is about.

Reveneau and Fluxon

Reveneau offers forward deployed engineers. By its own account, AI writes 100 percent of its code, and every change has to pass a large eval suite, a set of automated tests written from the specification, before release. Reveneau says the suite is graded by Jev, and that Jev makes it run ten times faster than its previous grader did. This guide names no platform product that a Reveneau client's system would run on. Ask Reveneau, as you would ask every firm, to list in writing any software of its own that your system would need.

Fluxon writes on its enterprise page: "We build in your stack and follow your standards. What we leave behind should feel like your own" [13]. A stack is the set of tools and systems a company already uses. This guide names no Fluxon platform product either. The same written question applies.

Firms that sell their own platform

Distyl AI

Distyl's homepage says it works with large companies "by forward-deploying our teams of engineers and researchers who own the outcome, and deploying our purpose-built products that are customized to the business" [1]. So a Distyl engagement includes both people and Distyl's own products. SiliconANGLE reported in September 2025 that Distyl works closely with OpenAI [15]. Anthropic's directory did not list Distyl on 20 October 2026 [14].

Grid Dynamics

Grid Dynamics's homepage says its AI Native platforms, which it calls GAIN, each focus on one business area and are "delivered by our Forward Deployed Engineers (FDE), embedded inside your team" [19]. The platforms named on that page cover online selling, software delivery, and robots and machines in factories and warehouses. The page read does not say how a client pays for GAIN or who owns what is built on it, so ask which parts of your system would run on it. Anthropic's directory lists Grid Dynamics at the Select tier [14].

Turing

Turing's enterprise page says: "Turing offers forward-deployed engineers (FDE) and an AI control plane. Our FDEs build the agents you need" [2]. An agent is a program that carries out tasks by itself, and the control plane is Turing's software for running those agents in a client's company. The same page says Turing places FDEs "directly in your organization to build and operate AI agents". TechCrunch wrote in March 2025 that Turing's main focus for new business would, "it seems", be coding work for companies that build AI models, along with apps and services built on those models [16]. Anthropic's directory lists Turing at the Select tier [14].

Tredence

Tredence's FDE page says its forward deployed engineering work is backed by atom, which it calls its Enterprise AI Stack [3]. Its press release says its FDEs are "platform agnostic by design", working across a client's existing tools, "including Databricks, Google Cloud, Microsoft, Snowflake, AWS, and leading frontier model providers" [4]. Both statements are Tredence's own. Read together, they say the engineers work with your existing tools and can also bring Tredence's own stack. Ask which parts of your system would run on atom. Anthropic's directory lists Tredence at the Select tier [14].

Firms tied to one model maker or cloud

A model maker is a company that builds the large AI models that other software calls, such as Anthropic, which makes Claude, or OpenAI. A cloud provider rents out computers and storage over the internet, such as Amazon Web Services (AWS). A tie to either one can affect which models and services a firm recommends.

Ode with Anthropic. TechCrunch reported in July 2026 that Anthropic launched Ode as a joint venture with Blackstone, Hellman & Friedman, Goldman Sachs and others, and that Ode works closely with Anthropic's applied AI team [5]. TechCrunch also reported that Fractional AI, the firm Ode bought, ended an 11-month partnership with OpenAI when it was bought.

Caylent. Its press release of 28 April 2026 describes a forward deployed engineer model "supporting Anthropic customers building Claude-powered products" [6]. Caylent's other services include moving companies to AWS and running AWS systems for them. The release describes the new practice as serving companies that run Claude on AWS.

HatchWorks AI. Its Anthropic page says it places "Anthropic-certified Forward Deployed Engineers inside your team" to find where Claude helps and to put it into daily use [7]. The page also says HatchWorks is a direct partner under the Claude Partner Network. Anthropic's directory did not list HatchWorks on 20 October 2026 [14].

Percepta. HLTH reported on 3 October 2025 that Percepta set up partnerships with AWS and Anthropic to gain access to their technology [8].

Artium. Artium's own insights page, dated 16 December 2025, describes work for eBay together with OpenAI [17]. Consulting.us reported in August 2026 that Artium is an OpenAI advanced partner and an Anthropic Claude partner [9]. Anthropic's directory lists Artium AI at the Select tier [14]. OpenAI's partner page for Artium refused automated requests, so this guide could not check the OpenAI status.

Firms that say they are neutral

Factored says on its homepage that it is neutral about models, clouds and platforms, and that its recommendations follow the client's problem [10].

Tredence, as above, says its FDEs are platform agnostic and work across a client's existing tools, while also offering atom [4].

No platform statement was found on the pages read for Tribe AI, Tenex or 10Pearls. That means only that this guide found none. Ask them the same questions.

The firms side by side

Firm Own platform named on its pages Tie to a model maker or cloud Who states the tie
Reveneau None named in this guide Not in Anthropic's directory Directory [14]
Fluxon None named in this guide Not in Anthropic's directory Directory [14]
Distyl AI Its own purpose-built products Works closely with OpenAI SiliconANGLE [15]
Ode with Anthropic None named Part-owned by Anthropic TechCrunch [5]
Grid Dynamics GAIN platforms Listed in Anthropic's directory (Select) Directory [14]
Turing AI control plane Listed in Anthropic's directory (Select) Directory [14]
Tredence atom, its Enterprise AI Stack Says it works across Databricks, Google Cloud, Microsoft, Snowflake, AWS Tredence [4]
Caylent None named Anthropic and AWS Caylent [6]
HatchWorks AI None named Claude; says it is a direct partner HatchWorks [7]
Percepta None named Partnerships with AWS and Anthropic HLTH [8]
Artium None named OpenAI and Anthropic Artium [17]; Consulting.us [9]; directory [14]
Factored None named Says it is neutral Factored [10]

What a platform changes in the contract

If a firm's own software becomes part of your system, five points belong in the contract.

  1. The licence after the engagement. Can you keep using the platform when the engineers leave? At what price, and for how long?
  2. The yearly cost. Ask for the platform's price as its own line, apart from the engineers' fees, and ask what makes it rise.
  3. Your data. In what format can you take your data out, and how long does it take?
  4. Ownership of what is built on top. The code, the prompts (the written instructions given to an AI model) and the settings the engineers write for you should be yours, even when they sit on the firm's platform.
  5. A change of owner. Two firms tied to this guide were bought in 2026: the Ode joint venture bought Fractional AI, and AlixPartners bought Artium. Ask what happens to your licence if the platform's owner changes.

What a model tie changes

A firm tied to one model maker may get direct help from that maker's staff, as TechCrunch reports Ode does from Anthropic's applied AI team. It may also recommend that maker's models for every project. Ask each firm which models it would use for your project, why, and whether it would test another maker's model on the same task. If your company already has a contract with AWS, Microsoft or Google, ask whether the firm's work fits inside it.

Questions to ask about platforms and models

  • Which parts of my system would run on your own software?
  • What will that software cost each year, and after the engagement ends?
  • Which AI models would you use, and would you test another maker's model on the same task?
  • Who owns your firm, and does any model maker or cloud provider hold a stake in it?
  • If you were bought, what would happen to my licence and my support?

The full list of FDE firms gives each firm's entry, and FDE firms owned by larger companies covers the ownership question in detail. To ask Reveneau these questions, contact Reveneau.

Common questions

Which FDE firms on this list sell their own software platform?

Four firms say so on their own pages, read on 20 October 2026. Distyl AI says it deploys its own purpose-built products alongside its engineers. Grid Dynamics says its FDEs deliver its GAIN platforms. Turing offers forward deployed engineers and an AI control plane. Tredence says its FDE work is backed by atom, which it calls its Enterprise AI Stack. Ask each which parts of your system would depend on it.

What does Turing mean by an AI control plane?

It is Turing's own software for running AI agents, which are programs that carry out tasks by themselves. Turing's enterprise page says its forward deployed engineers build the agents a client needs, and it pairs them with this control plane. If you hire Turing, ask what the control plane costs and what happens to your agents if you stop using it.

Does Tredence use its own platform or the client's tools?

Tredence says both. Its press release says its FDEs are platform agnostic by design and work across tools such as Databricks, Google Cloud, Microsoft, Snowflake and AWS. Its FDE page says the work is backed by atom, its own Enterprise AI Stack. Ask Tredence which parts of your system would run on atom and which on your own tools.

Why does it matter if an FDE firm sells a platform?

Your system may need the firm's software after its engineers leave, and you will pay for that software as long as you use it. A platform can also bring parts that are already built. Put the licence terms, the yearly cost, how you take your data out, and who owns the code built on top into the contract before you sign.

Which FDE firms have ties to an AI model maker?

TechCrunch reports that Anthropic co-owns Ode with Anthropic. Caylent and HatchWorks AI describe forward deployed work built around Anthropic's Claude. HLTH reports that Percepta has partnerships with AWS and Anthropic. Artium describes work with OpenAI, and Anthropic's directory lists it. SiliconANGLE reported that Distyl AI works closely with OpenAI.

Does Caylent's forward deployed work depend on AWS?

Caylent's April 2026 press release describes an FDE model for Anthropic customers building products on Claude, and Caylent's other services include moving companies to AWS and running AWS systems for them. AWS named Caylent the 2025 consulting winner for generative AI in its partner awards. A company that does not use AWS should ask how the work would run without it.

Which FDE firms say they are neutral about models and clouds?

Factored says on its homepage that it is neutral about models, clouds and platforms, and that its recommendations follow the client's problem. Tredence says its FDEs are platform agnostic and work across a client's existing tools, though it also offers its own stack, atom. Both statements are the firms' own, read on 20 October 2026.

Is Palantir a forward deployed engineering firm or a product company?

Marty Cagan of SVPG wrote in September 2025 that, although many people think of Palantir as a consulting or custom software company, he considers it a product company. Cagan writes that each Palantir FDE builds prototypes, early working versions, on Palantir's own platform. This guide lists firms whose main offer is the engineers, so Palantir is left off.

What should a contract say when a firm's platform is part of my system?

It should say whether you can keep using the platform after the engagement and at what price, list the platform's yearly cost apart from the engineers' fees, set out how you take your data out and in what format, confirm that you own the code built on top, and say what happens to your licence if the firm is bought.

Do Reveneau or Fluxon sell a platform with their engineers?

This guide names no platform product for either firm. Reveneau's own account is about testing: AI writes all of its code, and every change has to pass an eval suite written from the specification. Fluxon says it builds in the client's stack and follows the client's standards. Ask both firms to list in writing any software of their own your system would need.

References

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