Build vs. Unframe

The End of Building & Managing AI the Hard Way

There’s a faster, safer way to deliver AI. What once took 8+ months and half a team of specialists now takes weeks - without compromising your stack, your data, or your standards.

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Why build when you can already run

Let’s be honest: Models aren’t the bottleneck. The slow parts are compute provisioning, routing/orchestration, fine-tuning, evals, monitoring, governance, and keeping it all healthy in prod. Unframe abstracts this complexity. Delivers managed, production-grade AI workflows that run securely within your data perimeter, policies, and preferred stack.

Inside your perimeter
VPC, cloud, or on-prem

Model-agnostic
Use any foundation model or bring your own LLMs

Standards-first
Governance, auditability, accuracy, human-in-the-loop

If you’re weighing in-house builds or tired of pilots not ending up in production, welcome to Unframe.
‍The fastest way to deliver production-ready without building it all yourself.

6 reasons why industry leaders switch to Unframe

The choice isn’t “build vs buy.” It’s weeks vs months.

Risk-reduced delivery

Start with a proven pilot. Pay and scale only after results are validated. Less technical debt, fewer dead ends.

Fully managed, faster

Infra, lifecycle, orchestration, compliance - handled. You get running AI in weeks.

Compounding intelligence

Every use case enriches the Knowledge Fabric - so subsequent solutions ship faster and reason better.

Scale without hiring sprees

We operate as your AI delivery partner while your teams stay focused on product and adoption.

Predictable costs - no budget whiplash

Stop chasing unknowns in cloud bills, GPUs, or vendor add-ons. Unframe gives you a flat annual cost that covers delivery, updates, and uptime.

Enterprise-grade security

Federated data isolation, policy enforcement, audit logging, zero retention. Built for regulations.

In-House AI Build vs Managed AI Delivery

How deployment speed, cost, risk, and scalability change when you move from building in-house to Unframe’s managed AI.

In-house Build

Managed AI Delivery (Unframe)

Deployment Speed

9 - 18 months to hire team, set up infra, and build first workflow

Production-ready solution in days
‍

Talent & Resources

Requires hiring scarce AI engineers, ML ops, data scientists; high retention risk

Delivered by Unframe’s team, your teams’ focus on adoption and business value

Cost-to-Value

High upfront cost (infra + salaries); ROI often >12 months

Outcome-based pricing; ROI visible in weeks

Risk Profile

High - risk of failed pilots, attrition, tech obsolescence

Low - blueprint-driven, pilot-first, pay-for-outcomes approach

Scalability

Each new use case = new build, new infra adjustments

Repeatable blueprints scale cross-department quickly

Custom Fit

Custom but slow - heavy lift for each new requirement

Custom and fast - any model, any stack, any environment

Managing AI

You own infra, model updates, compliance, upgrades - ongoing heavy lift

Plug-and-play model swap; Unframe manages delivery + upgrades

Security & Compliance

Controlled if done right, but requires dedicated teams for policies + monitoring

Enterprise-grade, zero data retention, runs on private cloud or on-prem

Outcome Metrics

Hard to track consistently, requires building measurement systems internally

Pre-built benchmarks (time saved, cost reduced, efficiency gains) from day one

Testimonials

“Unframe went into impressive depth to understand our workflows and set an important puzzle piece for NZZ's AI strategy. We are building toward a long-term success story together."

Volker Dietzel

CTIO at NZZ

Testimonials

“At Cushman & Wakefield, we’re working to redefine the built world and challenge the status quo with cutting-edge data and digital strategies. Our ability to draw meaningful insights and deliver client outcomes has been significantly enhanced by working with Unframe. Our AI+ strategy is focused on bringing fast-paced and innovative solutions to unlock critical insights, and we are aggressively pushing forward with Unframe.“

Salumeh Companieh

Chief Digital & Information Officer at Cushman & Wakefield

Testimonials

"Unframe automates our labor-intensive processes, making everything easier and more accurate. We’ve approached it department by department, use case by use case, and what’s powerful is how those AI solutions start to build on each other across the business. As we expand into new use cases, that value will only continue to grow. The Unframe team is professional, patient, and truly understands what we’re trying to achieve.”

Joe Lopez

President at AST

Testimonials

"Unframe built VISION, a comprehensive case management and image-matching platform specifically designed for missing children investigations. This is Advanced AI focused on what truly matters: saving children’s lives. When a missing child appears in an ad somewhere across the country… we don’t hope we find them. We already have."

Matt Shelton

Co-Founder and CEO of Freed People

Where in-house builds fall short, Unframe leads

Scale, speed, and outcomes at levels internal builds can’t match.

Scalable AI across functions

Grow AI impact without multiplying complexity

Scaling AI isn’t just about adding use cases, it's about replicating success without replicating pain. Internal builds slow down because every new workflow becomes a new system to design, secure, and maintain.

Continuously learning Knowledge Fabric delivers repeatable, context-rich reasoning that scales across teams and regions.

Faster time-to-value on each new use case

Governance across user, team, department, org level

Well-integrated with all your business systems

See how a private equity leader scaled AI

AI at the speed of your business

Ship what matters, when it matters. Every time.

In-house AI builds move at the speed of bureaucracy - 9 to 18 months to hire, build infra, and ship value. By the time it’s live, priorities shift, teams change, and the tech moves on.

Unframe resets this curve. We turn months of engineering into weeks ofimpact through tailored assembly of proven building blocks for search,reasoning, agentic workflows and beyond. Deploy production-grade, compliant AIthat moves at the speed of your business - not your backlog.

Lead with outcomes, not experiments

Know what works. Invest where it matters.

In-house builds hide their cost behind complexity - months of infra spend, uncertain pilots, and opaque metrics.

Unframe’s outcome-based pricing makes ROI transparent from day one - tracking time saved, cost reduced, and efficiency gained across every deployment.