Support
A support page and a separate trust center are both published, and the site lists an advisory engagement track for teams that need help with a specific AI question or challenge.
Learn moreUnframe AI
Applied AI lab for enterprise agents, data and governance
Advanced
What is Unframe AI?
Unframe AI is an AI project builder tool. Enterprise applied AI lab combining an agent orchestration platform, knowledge fabric, AI-native data store and reusable building blocks, delivered through managed projects, self-build support or advisory work across finance, retail, real estate, manufacturing and insurance.
Unframe AI describes itself as an applied AI lab rather than a chat product. The company builds secure, governed, production-ready AI systems for enterprises and positions its platform as the layer that connects frontier model capabilities to measurable business outcomes. The pitch is aimed at organizations that have experimented with generic tools and now need something that survives contact with real data, compliance rules and internal workflows. The platform rests on four named components. Agent Orchestrator coordinates agents, models and tools. Knowledge Fabric supplies enterprise context so agents work from company knowledge rather than public guesswork. An AI Native Data Store holds the underlying data, and a set of Building Blocks gives teams reusable components to start from. On top of that foundation sit capability areas including agentic AI, data management and AI voice agents, plus vertical expertise in financial services, retail, real estate, manufacturing and insurance. Engagement is flexible in a way that suits large organizations with uneven internal AI maturity. Unframe offers managed delivery, where it owns the outcome from use case to production, a you-build model where the client's own engineers work on the platform with Unframe expertise on hand, and an advisory track for teams that want guidance on a specific challenge. Public customer stories include Cushman & Wakefield, which cites more than 15 projects in delivery, NZZ with an AI proofreading assistant for its newsroom, and Highland Europe using it for deal sourcing. Choosing it means buying a partner as much as a product. Teams that want a self-serve tool with transparent list pricing will find little here: costs, timelines and contracts run through sales conversations. Organizations with sensitive data, governance requirements and a roadmap of AI use cases are the intended audience.
How do you use Unframe AI?
1Read the platform overview
Start on the platform page to understand the four components and how the orchestration layer relates to the data store and knowledge fabric.
2Check the capability that matches your use case
Review the agentic AI, knowledge fabric, data management or voice agent pages to see which building blocks apply to your problem.
3Review security and governance
Read the security page and trust center before involving internal stakeholders, since data handling is usually the gating question in enterprise adoption.
4Find a comparable customer story
Scan the customer stories for an organization in a similar industry or with a similar use case, then read the full write-up for context on scope.
5Book a demo to scope the engagement
Use the demo request to discuss whether managed delivery, you-build or advisory fits your team, and to get commercial terms.
Pros and cons
Pros
- Covers the full path from use case to production, including managed delivery when internal teams lack capacityAI
- Governance, security and data context are treated as first-class platform concerns rather than add-onsAI
- Named components (agent orchestrator, knowledge fabric, data store, building blocks) give teams a clear mental modelAI
- Public references span media, real estate and venture capital, showing work outside a single verticalAI
- Three engagement modes let a company start with advice and scale into build or managed deliveryAI
Cons
- No published pricing, so budgeting requires a sales conversation before any comparison is possibleAI
- The site is written for enterprise buyers and gives almost no product detail a hands-on evaluator could testAI
- No self-serve signup or sandbox; access runs through a demo requestAI
- Heavy reliance on partner delivery means results depend on the specific team assigned to the accountAI
- Smaller companies and solo builders are effectively out of scope given the enterprise positioning and governance focusAI
How much does Unframe AI cost?
Features
Platform components include an Agent Orchestrator for coordinating agents, models and tools, a Knowledge Fabric for enterprise context, an AI Native Data Store and reusable Building Blocks. Capability pages cover agentic AI, knowledge fabric, data management and AI voice agents, with industry playbooks for financial services, retail, real estate, manufacturing and insurance.
Learn moreFrequently asked questions about Unframe AI
How do you use Unframe AI?
The walkthrough on this page covers 5 steps: 1. Read the platform overview 2. Check the capability that matches your use case 3. Review security and governance 4. Find a comparable customer story 5. Book a demo to scope the engagement.What platforms does Unframe AI support?
Unframe AI is available on Web App.What are the limitations of Unframe AI?
No published pricing, so budgeting requires a sales conversation before any comparison is possible. The site is written for enterprise buyers and gives almost no product detail a hands-on evaluator could test. No self-serve signup or sandbox; access runs through a demo request.
Status
StatusActive
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Added10/21/2026
Platforms
Web App
Pricing
Paid
