Specialist shortlist · Design & UX

20 design agencies for AI startups

An AI demo still needs to become a product people understand. These 20 agencies cover different purchases: application UX, a recognizable identity, a launch website or specialist workflow design. Choose around the part of the experience that needs to change.

Paper interface sketches and red annotations arranged into a finished product design.
In this article

Compare the engagement models

The assignment Partners to compare Clarify before signing
Application workflows and human control Turbo Design, Eleken, Neuron, UX studio Research access, model behavior and engineering ownership
A specialist AI workspace Metalab, Lazarev.agency, Fuselab Creative, Punchcut Realistic data, full task flows and failure states
Brand identity and technical explanation Smith & Diction, Focus Lab, Pentagram, Heartbeat Positioning, writing and the surfaces included
Brand, website and product coordination Clay, Humbleteam, Arounda, Unfold Which disciplines actually join the team
A launch or growing marketing website Ramotion, Instrument, StanVision, Merge Content, CMS, implementation and ongoing editing

The default brief is an AI application whose core workflow is still taking shape. Turbo leads for embedded product decisions; Metalab follows for substantial interaction design backed by several AI product examples; Eleken supplies a continuing designer alongside an engineering team. Clay can be the first comparison when the brand, website and application need to change together, while Smith & Diction suits an identity-led brief. We then compare launch partners and more specialized workspaces or user groups. That order weighs the specific task and engagement model supported by the public work, rather than treating every AI startup as the same design purchase.

1. Turbo Design: an embedded partner for AI product design

Turbo Design suits founders who want designers involved in the decisions that shape the product. Founded by Shane Levine, the Brooklyn studio focuses on embedded product design for AI-native products. Its work starts with the concept and carries through to detailed interfaces, making it a compelling choice while a startup is still figuring out how a new capability should feel to use.

Levine’s writing gives a more revealing introduction to Turbo than a wall of client logos. In Design for Builders, he describes a Turbo M&A due-diligence tool that shows the progress of a search and connects answers to source material. Another project, an AI spreadsheet, pauses during an analysis to ask for human judgment before continuing. The client names are not disclosed, but the examples explain the design decisions behind the interfaces.

That is what draws us to Turbo for this list. AI products need sensible ways to show progress, introduce unfamiliar capabilities, and let a person take control. Those questions belong in the earliest product conversations. Turbo’s long-term partnership model suits founders who want that thinking close to the team as the product develops.

2. Metalab: ambitious AI products with substantial interaction design

Metalab has several unusually relevant projects for a founder to examine. Its AI portfolio includes product strategy and design for Midjourney; product design, brand, and engineering for Suno; and brand and product work for Modular. That spans creative software and developer infrastructure, with different responsibilities on each assignment.

The breadth matters because an AI startup’s main design challenge may have little to do with a chat window. Creating music, exploring generated imagery, and working with developer tools call for different ways to start a task, adjust a result, and return to previous work. Metalab gives a prospective client several reference points for those conversations.

We would consider it for a new product experience or a substantial redesign. Bring a specific workflow to the first meeting and ask the team to discuss comparable work. Its portfolio includes engineering, but the proposal should establish whether your engagement covers design, implementation, or both.

3. Eleken: ongoing design for a product that keeps changing

Eleken’s appeal is in the details of how an AI product behaves. For Frontend AI, built by Webcrumbs, its designers worked on prompt and image inputs, feedback during generation, customization of results, and code export. Those are useful examples for a startup whose technology works but whose users still need a clearer path through it.

Its Avid project addresses a different setting: AI-powered fundraising software, including recommendation flows, onboarding, and a design system. Frontend AI helps people revise a generated component; Avid helps them act on a recommendation. Both examples show the work required after an AI system produces an answer.

Eleken offers a monthly engagement with an embedded designer. That arrangement is worth considering when you have engineers ready to build and a continuing stream of product decisions to make. It works best with a client team that can set priorities, share user feedback, and review designs regularly.

4. Clay: a coherent brand and digital product

Clay is an appealing choice when the brand, marketing website, and application all need attention. Its services cover branding, UI/UX, websites, and development, so there is room to connect those assignments in one engagement.

Two AI projects illustrate the range. Clay’s Streetbeat rebrand created an identity for an AI investment platform, with a geometric mark, typography, and information graphics. Its Eden portfolio entry covers both brand identity and app design for an AI real-estate platform. The latter is particularly relevant for founders who want the product to carry the same character as the company’s public presence.

We would shortlist Clay for a coordinated brand and product project, including AI software in an established industry. Its appeal here is continuity: the website introduces a promise that the interface can then carry through.

5. Smith & Diction: a distinctive identity for an AI company

Smith & Diction’s Perplexity work is a good reminder that an AI company can have a strong identity without filling every surface with futuristic imagery. The studio developed a restrained visual language, with typography and color choices that give the experience of searching and reading room to breathe.

Its portfolio also includes visual and verbal identity for Gamma, plus launch branding for Alma, an AI nutrition assistant. These are useful references for founders who know what they are building but have yet to find a compelling way to present it.

Smith & Diction belongs on the shortlist when the central assignment is a recognizable identity and voice. The Perplexity case includes contributions to the interface, but the studio describes branding as its core practice. Treat application UX and engineering as separate scope questions. For a startup with a capable product team, a focused brand partner may be exactly the missing piece.

6. Focus Lab: positioning and branding for enterprise-facing AI

Selling AI to a business often means explaining a complicated product to someone with little patience for vague promises. Focus Lab’s PolyAI project shows a useful approach. The work connected brand strategy, identity, website design, and copy, and gave real call recordings a more prominent place on the site so prospective customers could hear the voice technology.

For legal AI company Spellbook, the studio turned familiar legal annotations, including brackets and carets, into a distinctive visual vocabulary. It is a more specific way to express the business than borrowing the visual language of a generic technology company.

Focus Lab is worth considering when an early product story needs to become a deliberate market position. Its services include B2B positioning, verbal and visual identity, websites, and ongoing brand support.

7. Ramotion: brand and website work for an AI launch

Ramotion is a useful option when the identity and website need to arrive together. Its Murf AI project combined brand strategy, visual identity, web design, and Webflow development for an AI voice platform. For Borea AI, it developed the brand and marketing website as the investment startup prepared for its first MVP.

These projects speak to the work a prospective customer encounters before signing up: how the company looks, how it describes the product, and how the website makes that product understandable. Having one agency connect those elements can be valuable at launch, when small inconsistencies quickly accumulate across pages and assets.

We would consider Ramotion for that coordinated introduction or a substantial refresh of an existing company’s presence. If the brief also includes onboarding or the day-to-day application, ask to see relevant product work and put those deliverables in the proposal. The marketing website and the application need a clear point of connection.

8. Lazarev.agency: research tools that turn AI answers into working documents

An AI research product has to do more than return an answer. Lazarev.agency’s work on Accern Rhea is useful because it follows the task through to the document an analyst needs to produce. The agency combined conversational input with charts, references, and contextual controls, then put research and report creation beside each other in a split-screen workspace.

Researchers can work with source material and build their output in the same environment, moving between the evidence and the report without losing the thread of the task. The project also addressed dataset and file management, an important part of making an AI tool useful with a company’s own information.

We would put Lazarev on the shortlist for research, analysis, or decision-support software where the interface must organize complex material. Its strongest example here is the connection between asking a question, examining the response, and turning it into something another person can use.

9. Humbleteam: AI assistants built around professional workflows

Humbleteam is a compelling option when an AI assistant must fit into work people already know how to do. For Afternoon, software for financial advisers, it designed the platform and companion app around meeting preparation, recordings, and the reports that follow a client conversation. Shared components connect the desk-based experience with the one an adviser uses between appointments.

The thoughtful part is the division of responsibility. The assistant asks before acting, shows what it has found, and prepares material for the adviser to review. That is a useful reference for founders deciding where automation should stop and a person’s judgment should begin.

Humbleteam’s portfolio also lists work for Cluely and Synthesia. Afternoon is the more revealing example for a team building professional software: it shows how the agency organizes an assistant around a sequence of real tasks, including what happens before and after the conversation with AI.

10. Fuselab Creative: machine-learning tools and dense data interfaces

Fuselab Creative stands out when the users are technical specialists and the screen has a lot of work to do. For Grid.ai, later renamed Lightning AI, it designed the interfaces and design systems for experiment tracking and workflow automation products. The work covered the practical demands of machine learning: comparing runs, watching compute costs, navigating datasets, and understanding results. Lightning AI’s own team handled development.

Its Stardog Voicebox project brings conversational AI into a different data-heavy setting, with a chat panel beside the underlying structured information. The relevant skill is giving people room to investigate rather than compressing every task into a conversation.

That makes Fuselab worth considering for AI infrastructure, analytics, and other products with demanding daily users. If your customers need to compare, inspect, and revisit information throughout a working session, these projects offer useful examples of how the interface can support that depth.

11. Pentagram: a visual identity for complex AI technology

An AI company’s technology can be difficult to picture. Pentagram is particularly interesting when the brand needs to give that technology a visible form. Its work for Cohere built an identity around cell-like shapes, with custom typography and tools that the company’s designers could use to create new materials. The assignment also extended into Cohere’s website, dashboard and playground.

For TwelveLabs, which builds models for understanding video, Pentagram developed an identity and website around the spatial relationships inside video data. Thread-like diagrams explain how information connects; a horse symbol draws on the early history of motion photography. The details have a reason to exist beyond looking futuristic.

That is the appeal for an AI founder: a brand with an idea behind it, and enough range to carry through a website, diagrams, motion and everyday communications. Put Pentagram on the shortlist when explaining the company is as important as making it recognizable.

12. Instrument: brand and website launches for growing AI companies

Instrument is a strong choice when an AI company has outgrown its first website and needs its story, design and publishing tools to catch up. For AlphaSense, the agency rebuilt the site’s structure and navigation, developed a modular approach to product storytelling, and created the tools its internal team uses to assemble and publish pages.

Its Iru project shows a broader launch assignment. As Kandji expanded into an AI-powered IT and security platform, Instrument developed the new brand, website and campaign. A translucent jellyfish mark gave the identity a memorable center; typography, motion and messaging carried the idea across the launch.

These projects make Instrument worth considering when several pieces need to move together: what the company says, how it looks and how the website works. The strongest fit here is a substantial brand and web assignment for a growing business, with room for design, writing and development to inform one another.

13. Neuron for AI inside complex business software

Neuron’s AI UX practice covers new AI products, adding capabilities to existing platforms, and research and roadmapping before implementation. The service description explicitly addresses uncertain outputs, explanations, confidence indicators and opportunities for a person to correct the system. That is a useful fit for a startup selling software to people who must defend their decisions.

Consider a research-and-design engagement when the unresolved question is how AI belongs in an existing job. Bring representative inputs and plausible failure cases, rather than a demonstration that always succeeds. Ask the proposed designers to work with the people responsible for models and engineering. Settle whether the deliverable is a tested workflow, detailed application design or an implemented interface.

14. Arounda for AI products with several user surfaces

Arounda’s AI portfolio separates assignments that are easily confused in an agency search: Auralis involved a mobile app and administration panel; Altflow involved an AI content-creation interface; MOJO CX involved a contact-center platform. Its published range also includes branding for emotion-understanding AI and a website for a GPU network.

That variety makes Arounda a reasonable comparison when an AI product needs more than one surface designed together. A customer application, an administrator’s controls and a marketing site have different users and acceptance criteria. Commission the specific combination you need and ask to inspect the relevant case in detail. Establish who conducts research, which interfaces are included and how designs reach your engineering team before choosing a broad full-cycle proposal.

15. Unfold for an AI consumer brand with a product experience

Unfold’s published portfolio identifies work on the brand and product experience for Brain.fm, an AI-generated functional-music service. The same portfolio distinguishes platform, entertainment and event assignments, so buyers can discuss the exact discipline behind the example rather than assume every project included the same team.

The relevant fit is a consumer AI product whose identity and everyday experience need to feel connected. Music and other repeated-use products must explain an unfamiliar capability while giving people an understandable way to begin and return. Ask Unfold to walk through the product work and its responsibility on Brain.fm, then describe your own recurring use case. Agree which brand assets, interactive flows and implementation tasks the engagement covers; a shared visual direction still needs concrete product deliverables.

16. Heartbeat for explaining an AI company to a defined buyer

Heartbeat describes refreshing the identity and website for GovEagle, an AI platform for government contractors. Its account includes website design and construction, marketing materials and reusable tools for the client’s team. That is an especially relevant reference when the prospective customer needs to understand a technical service before agreeing to a conversation.

Compare Heartbeat for a focused brand-and-web engagement with a clear audience. Bring the purchasing context, the product’s actual capabilities and examples of the language customers use. Ask how the design will make those specifics visible across product explanations and sales materials. The cited work establishes a company presentation assignment; include separate application research and interaction-design deliverables if those are also needed. Confirm what your own team can update after launch.

17. StanVision for connecting an AI product with its marketing website

StanVision’s AI service page connects product UX, branding and the marketing website. It identifies work for companies including Timefold, Neural Concept and Siena, while describing Webflow as the website implementation platform. This is a concrete option for a startup whose sales explanation and product experience have developed separately.

Shortlist the studio when the brief includes an editable marketing site and a consistent product direction. Ask which published example matches your purchase: a product interface, a website or a combined engagement. A Webflow website does not establish who builds the application itself. Make that boundary visible in the proposal, along with the content model, ongoing editing responsibilities and the user journeys the design team will test.

18. UX studio for research around consequential AI decisions

UX studio’s current portfolio and offer include AI work in insurance and legal software, alongside dedicated UX design and research teams. Its services include UX research, consultancy, design and development, and its working model describes designers embedding into a client’s existing tools. Those details make it relevant to a startup that wants continuing product work with user research close by.

Legal and insurance products raise a useful interview question: how does someone detect and correct an AI mistake before acting on it? Ask the proposed team to discuss the actual workflow and the users involved in its related work. Define access to representative users, the research cadence and who implements each change. Compare the dedicated-team scope with a bounded research project before committing to ongoing capacity.

19. Merge for repositioning an AI product business on the web

Merge’s web-design service describes product-demo pages for Bytek after the company moved from agency services toward data and AI products. The assignment is relevant because a company’s original website can continue to sell the old business even after the product has changed. Merge’s scope includes a consistent direction across the pages agreed for desktop and mobile.

Consider it when the immediate problem is explaining what a buyer can purchase and why it matters. Bring the product demonstration, audience and existing pages to the scoping conversation. Ask how the new information structure will distinguish capabilities, use cases and proof. Specify writing, development and CMS responsibilities. For a confusing application workflow, commission product discovery or product design explicitly rather than expect the website project to resolve it.

20. Punchcut for AI tools with specialist daily users

Punchcut’s AWS SageMaker Studio account describes research, heuristic evaluation and workflow design for machine-learning tools. This is a useful reference for AI infrastructure startups whose users work across data, experiments and technical decisions. The design challenge involves the workspace surrounding the model as much as the response it returns.

Its engagement options include focused sprints and embedded teams. Compare a bounded workflow project with a longer partnership according to what your engineers can absorb. Bring examples of the information specialists need to compare, revisit and act on during a session. Ask how the team will test those tasks with users who understand the domain. Specify production engineering separately from prototypes and development support.

How to choose the right design partner

Start with the part of the business that needs design help. If people do not understand what the company does, a positioning and brand project may be the right purchase. If they understand the promise but get lost in the product, put interaction design first. If both need work, decide whether one team will own the whole experience or two specialists will collaborate.

For product work, ask to walk through a case study beyond its best-looking screen. What does a person see before they have any data? What happens while a response is being generated? Can they inspect a source, correct an assumption, or undo an action? Ask the agency to show how it handled these situations in a shipped product or prototype. A static portfolio image rarely answers those questions.

For branding, look at the system beyond the logo. Can the identity explain a technical capability in a launch page, support a useful product demonstration, and remain recognizable in the application? Discuss the writing as well as the visuals. A startup can have beautifully designed pages and still leave visitors guessing what they can actually do with the product.

Then establish how the working relationship will function. An embedded designer needs access to product decisions and a steady feedback loop. A fixed launch project needs a defined set of deliverables and an owner who can approve them. In either case, settle who conducts research, who writes interface copy, who builds the designs, and what happens after handoff.

Finally, give the finalists the same brief. Include the target users, the workflow or launch problem, the team available to implement the work, and the budget you can commit. Ask for the people who will do the work, a relevant example, and a proposal that makes the boundaries clear. The most useful comparison is how each team would approach your particular product.

Sources

Project examples are the providers’ published accounts. The hiring assessments explain fit; reported client outcomes are not guarantees.

Frequently asked questions

Which design agency should an early-stage AI startup consider first?

Turbo Design is one option when the founder needs an embedded partner to help shape the product and its interface. The best choice changes with the assignment: a company that already has a capable product team may need a branding studio, while one with a confusing core workflow should prioritize product design experience.

Does an AI startup need an agency that specializes exclusively in AI?

No. Relevant work is more useful than an AI label. Ask to see how the agency handled a product that generated uncertain results, took time to complete a task, or needed a person to approve an action. For a branding assignment, look for evidence that the studio can explain a technical product clearly and give it a distinctive identity.

Should we hire one agency for branding and product design?

That can work when the agency has strong examples in both areas and the proposal gives each enough attention. It can also make sense to pair a brand specialist with a product designer. Agree on who owns the shared visual system and how decisions will carry from the marketing website into the application.

How should we compare proposals and budgets?

Give each agency the same scope: the users and tasks involved, the screens or brand assets required, the engineering support available, and the decision you need to reach. Ask for named deliverables, review rounds, staffing, and a clear treatment of changes. A monthly design engagement and a fixed branding project are different purchases; compare what each will deliver within your budget.

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