AI & ML Design Agency
We design UI/UX, brand systems, and no-code platforms for AI and machine learning products and AI-native companies worldwide.
TRUSTED. CERTIFIED. PROVEN.
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Designers built for the AI era.
AI tools are everywhere. The need for senior product, UX, and domain experts has grown, not shrunk.
ZeeFrames designers bring software engineering backgrounds, AI fluency, and deep experience designing for LLMs, agents, and ML products. We design with AI, decide without it.
Domain experts
Senior UX designers with real LLM, copilot, agent, and ML platform product experience.
Engineering background
Software engineering fluency including prompt design, evals, and AI product architecture.
AI-certified
Hands-on daily with AI tools and workflows, designing trust, explainability, and human-in-the-loop patterns.
Want senior design judgment paired with AI speed?
Launch better products with senior designers and AI-accelerated workflows.
Real problems. Real design solutions.
Six recurring challenges AI and ML teams bring to us, and how we solve them.
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01
Trust
88% of product leaders say trust frameworks will define AI products. Our solution: We design AI surfaces with explainability, confidence ranges, source citations, and clear human-in-the-loop patterns from the first wireframe.
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02
Hallucination
Models hallucinate 3 to 5% of the time even in technical tasks. Our solution: We design product guardrails: verification UX, source visibility, refusal states, and clear flags when the model is uncertain or off task.
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03
Prompt design
Users do not know what to ask or how to ask it. Our solution: We design prompt entry surfaces, suggested actions, structured inputs, and templates that turn a blank box into a productive starting point.
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04
Agent control
Autonomous agents need human oversight without slowing the work. Our solution: We design approval, intervention, and reversal patterns that let users supervise agents without micromanaging every step.
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05
Compliance
EU AI Act, NIST AI RMF, and ISO 42001 reshape what shipping looks like. Our solution: We design with EU AI Act, NIST AI RMF, ISO 42001, GDPR, HIPAA, and SOC 2 frameworks in mind from the first wireframe.
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06
Production
85% of ML projects never make it to production. Our solution: We design ML lifecycle UX, eval consoles, and production monitoring that move models from notebook to product without the usual handoff loss.
Products we design for AI and ML teams
Nine product surfaces where AI and ML teams partner with us. Each can be standalone or part of a full platform build.
LLM & Chat Products
Conversational AI products, chat interfaces, message threading, and prompt entry surfaces.
AI Copilots & Assistants
In-product copilots for SaaS, dev tools, design tools, and enterprise software.
AI Agents & Autonomous Workflows
Agent interfaces with task plans, approval flows, intervention controls, and audit trails.
ML Platforms & MLOps
Model registry, training, evaluation, deployment, and monitoring consoles for ML engineering teams.
Computer Vision & Multimodal
Image, video, and document understanding interfaces with annotation, review, and verification UX.
Generative AI Products
Text, image, audio, and video generation tools with prompt design, history, and iteration UX.
AI Evals & Observability
Evaluation dashboards, prompt management, tracing, and observability tools for AI engineering.
AI Marketing Sites
Landing pages, demo experiences, and AI product launch sites in Webflow or Framer.
Design Systems for AI
Token-based libraries with patterns for streaming, confidence, citation, and AI-specific UI states.
AI and ML use cases we design for
Real product scenarios from real engagements.
LLM chat and conversational AI products
For AI-native chat products, conversational interfaces, and LLM applications.
- Chat threads with streaming, citations, and attachments
- Prompt entry with suggested actions and structured inputs
- Conversation history, branching, sharing, and revisit flows
- Refusal, safety, and confidence states
- Source attribution, grounding, and verification UX
AI copilots and in-product assistants
For SaaS, dev tools, design tools, and productivity software adding AI assistance.
- Inline AI assistance inside existing workflows
- Context-aware suggestions and one-click actions
- Side panels, command palettes, and floating copilots
- Undo, redo, and review states
- Discovery UX for newly shipped AI features
AI agents and autonomous workflows
For agent platforms, autonomous workers, and AI products that take actions for users.
- Task plans, approval gates, and intervention points
- Tool use, browser, and code execution UX
- Long-running task status and escalation flows
- Multi-step audit trails with replay and retry
- Controls for autonomy level, budget, and scope
ML platforms and MLOps consoles
For ML engineering teams, model platforms, and machine learning infrastructure providers.
- Model registry, versioning, and lineage UX
- Training, fine-tuning, and evaluation workflows
- Deployment, rollout, and monitoring dashboards
- Data labeling, datasets, and feature store UX
- Cost, performance, and SLA monitoring
Computer vision and multimodal products
For vision, document AI, audio, and multimodal AI products.
- Image, video, and document annotation interfaces
- Multimodal input with drag-and-drop, voice, and camera
- Verification, correction, and human-in-the-loop flows
- Bounding box, segmentation, and overlay patterns
- Batch processing, review, and export UX
AI evals, observability, and prompt management
For AI engineering teams shipping LLM and agent products to production.
- Evaluation dashboards for accuracy and hallucination
- Prompt management, versioning, and A/B testing
- Tracing, replay, and debugging surfaces
- Cost, latency, and token usage dashboards
- Human review queues for quality and safety
Real software projects we've shipped
Real scenarios where founders, operators, and enterprise teams brought us in to build software that shipped to production:
Premium Hospitality Web Experience
Consumer and SMB banking, account opening, card products, and core banking dashboards.
Banking & Neobanks
Consumer and SMB banking, account opening, card products, and core banking dashboards.
SEO Digital Marketing Platform
Consumer and SMB banking, account opening, card products, and core banking dashboards.
Talent Booking & Gig Tracking Platform
Consumer and SMB banking, account opening, card products, and core banking dashboards.
AI and ML sub sectors we know well
Six AI and ML sub-sectors where most of our recent work has happened.
Foundation Models & LLMs
Chat products, API platforms, fine-tuning tools, and LLM provider experiences.
AI Copilots & Assistants
In-product AI for SaaS, dev tools, design tools, and productivity software.
AI Agents
Autonomous agents, browser agents, and multi-step task automation products.
ML Platforms & MLOps
Model training, deployment, monitoring, and ML engineering infrastructure.
Computer Vision & Multimodal
Vision, document AI, audio, and multimodal AI products.
AI Evals & Observability
Evaluation, observability, tracing, and prompt management tools for AI engineering.
Our UI UX Design Process
Every UI UX design engagement follows a clear five-phase sprint. Timelines typically run 4 to 12 weeks based on product complexity.
Discovery & Research
- Kickoff workshop and stakeholder alignment in FigJam.
- User research, competitive benchmarking, and analytics review.
- Clear design brief with goals, KPIs, and success metrics.
Information Architecture & Flows
- User journey mapping and sitemap design.
- Task flows for key user actions, ensuring seamless journeys.
- Low-fidelity wireframes for structure review.
Design & Testing
- High-fidelity UI in Figma with Figma Make & Google Stitch.
- Custom visual language, typography system, and color tokens.
- Motion and micro-interaction direction using Lottie and Spline.
Want this process for your brand?
Tell us about your brand and get a tailored design roadmap within 24 hours.
Tools & Technologies We Use
Our workflow is powered by trusted tools for design, prototyping, collaboration, testing, and delivery, helping us build products faster without compromising quality.
What clients say
AI and ML design FAQs
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A specialized UI/UX design partner for AI and ML products, including LLM chat products, AI copilots, autonomous agents, ML platforms, computer vision, generative AI, and evaluation and observability tools.
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We work globally, with significant engagement across the USA, UK, Canada, Australia, Singapore, and the EU.
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We embed transparency, explainability, source citations, confidence indicators, and human-in-the-loop controls into every AI surface.
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Yes. We design task plans, approval gates, intervention points, audit trails, and trust controls for AI agents, with the right level of oversight for each product.
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We design product guardrails including source visibility, refusal states, confidence indicators, and clear flags when the model is uncertain.
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Compliance is built into the design from the first wireframe. We design with EU AI Act, NIST AI RMF, ISO 42001, GDPR, HIPAA, SOC 2, and FTC guidance in mind. Accessibility follows WCAG 2.2 AA.
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Our designers bring software engineering backgrounds and AI certifications. Senior UX and AI domain experts own product strategy, trust patterns, and agent design judgment.
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Marketing and AI launch sites typically take 3 to 6 weeks. End-to-end AI product designs take 6 to 10 weeks, while platform modernizations and agent builds take 10 to 18 weeks in phased rollouts.
Your next great product decision starts with one conversation.
If your product isn't where you want it to be, 30 minutes with us might tell you why.And more often than not, we're exactly the team to fix it.
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Mobile-First Design Approach
Designing digital products with mobile users as the primary focus.
Lets work on what you care about!
Got a project in mind? From a full UI/UX refresh to a brand-new digital experience, we’re ready to help. Let’s turn your vision into reality