Technology Vendor Evaluation Services
Kodexo Labs runs AI technology vendor evaluation services that test vendor claims before you sign, exposing hidden integration costs and preventing contract lock-in on the wrong platform. Every shortlist gets scored against defined requirements, security posture, and total cost, not polished sales-deck promises.
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TRUSTED BY ENTERPRISES
When a platform choice locks in your architecture for years, guessing isn't an option. We pressure-test every finalist across six evaluation stages, so you buy the vendor that actually delivers on its demo:
Our Core Capabilities
Requirements mapping and request-for-proposal (RFP) definition tied to your goals.
Technical capability testing through hands-on proof-of-concept (PoC) validation, not decks.
Security and compliance scoring against your regulatory and data-handling requirements.
Total cost of ownership (TCO) modeling that surfaces hidden costs.
Vendor risk and stability assessment covering funding, roadmap, and support.
Contract negotiation support and clean implementation handoff to your team.
IN THE NEWS
AI Products Shipped
Client Retention
on Clutch
Expert Team
How We Evaluate AI Technology Vendors
Most vendor evaluations end with a scorecard and a signature, then the real problems surface during integration. Our methodology runs each finalist through six stages built to prove capability in your environment, not on a spreadsheet.
Requirements and RFP Development
Vague requirements produce vague proposals. We define with your team what the platform must do, then turn it into a clear scored request.
We ask what you need, rank each one, and turn it into a brief.
We send one clear ask so every vendor must reply to the same terms.
Let's Put Your Vendor Shortlist to the Test
Bring the two or three vendors you're weighing now. We'll run them through the scoring we just described and show what holds up.
Multi-Agent Systems in Production
Diesel Laptops
Fleet technicians lost minutes on every lookup across 160,000 technical records. The key question was where the AI search engine should live, given their data sensitivity. We built it self-hosted inside their own AWS private cloud, so nothing ever left their control. Lookup time fell 85%, now returning answers in seconds instead of minutes.
85%
Faster Lookup
160,000
Records Searched
AWS VPC
Self-Hosted
Extensiv
Extensiv's operations team waited on engineering for every data question. Before building, we had to pick an orchestration approach that could reason across a sprawling database. We chose an agentic framework, then built a system that answers your plain-English questions directly. It now runs at over 90% accuracy across 207 tables and four databases.
90%+
SQL Accuracy
207
Tables
04
Databases
IFPG
IFPG's chatbot handed prospects broken answers across more than a thousand franchise listings. The real decision was which reasoning approach could fix accuracy without a full rebuild. We rebuilt the reasoning layer using chain-of-thought prompting, so the bot works through each query step by step. HTML errors dropped to zero and accuracy climbed 85%.
1,000+
Listings
85%
Accuracy Lift
Zero
HTML Errors
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- HIPAA compliance scoringClinical data handlingPHI access controlsAudit trail depth
Every Industry Weighs Vendor Evaluation Criteria on Different Priorities
A vendor evaluation gap never looks the same twice. In healthcare it is compliance depth. In logistics it is integration fit. In automotive it is offline reliability. We score what actually decides the outcome for your sector.
Bring Your Current Vendor Shortlist and We Will Pressure-Test It
Come with the two or three vendors you are weighing. In one working session, we score them against your compliance needs and your build plan. You leave with a decision, not a pitch.
We Score Vendors Against the Frameworks Your Regulators Enforce
A vendor that fails your compliance obligations is disqualified before capability ever matters. So we grade each option against the exact standards your industry and regulators already hold you to, not a generic security wish list. Here are the frameworks we currently score against.
EU AI Act
HIPAA
PCI-DSS
GDPR
CCPA
COPPA
SOC TYPE 2
ISO 27001
NIST AI RMF
FERPA
EU AI Act
HIPAA
PCI-DSS
GDPR
CCPA
COPPA
SOC TYPE 2
ISO 27001
NIST AI RMF
FERPA
Most Vendor Evaluations End in a Slide Deck; Ours End in Shipped Software
A scoring matrix nobody revisits is not a decision, it is a delay. Four things separate how we evaluate technology vendors from the consulting norm, and each one exists to get you building something sooner.
Frameworks Proven in Production
Our scoring criteria come from systems we built, not a checklist we downloaded. Take Extensiv: we had run agentic orchestration across 207 tables and 4 databases, all of it at over 90% accuracy.
We Test Before Recommending
A vendor demo runs fine until real load hits it. So we pressure-test the hosting first. For Diesel Laptops, a self-hosted AWS VPC beat the managed option and lookups came back 85% faster.
Selection That Ships Software
Scoring vendors is easy. Shipping with that choice is where evaluations stall. We select against the build we know is coming next. At IFPG, it drove a chain-of-thought rebuild and accuracy rose 85%.
The Evaluators Also Build
Most firms evaluate, hand you a report, and walk away. We do not split those roles. The same team that scores your vendor writes the first production code. 94% of our clients stay.
Every Month on an Unverified Vendor Is a Risk
Stop funding unverified vendors. Compare fit, validate claims, and know the true cost before you commit.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Overcoming Technology Vendor Evaluation Services Challenges
Most vendor evaluations fail for the same four reasons. There's no clear path from scorecard to a built system. Vendor claims go unverified. Total cost stays hidden until after signing. Contract terms leave no way out. Here's how we solve each one, before it costs you.
Every tool listed is in active production on a Kodexo Labs.
Every framework, runtime, and cloud service named here is running on a live client product right now. No theoretical stack, no resume keywords, no tools added for marketing weight.
Technology Vendor Evaluation: From Requirements to Recommendation
Discovery and Requirements Definition
We start by mapping what you actually need the technology to do. We document your workflows, data sources, integration points, and success metrics. This becomes the scorecard every vendor gets measured against.
Vendor Landscape Mapping and RFP
Next, we identify every credible vendor that fits your requirements, not just the big names. We build a structured RFP, a formal request for proposal, tied directly to your scorecard, so responses come back genuinely comparable.
Technical Evaluation and PoC Validation
Here we put finalists to the test. Each one runs a proof of concept, a small working build, on your real data. We score accuracy, latency, and integration effort against the pass-or-fail bar we set earlier.
TCO Modeling and Risk Scoring
Now we model the full financial picture. TCO, or total cost of ownership, covers licensing, integration, training, migration, and support across several years. We pair that with a risk score covering vendor stability, lock-in, and security, so no cost hides.
Recommendation and Implementation Handoff
Finally, you get one scored recommendation backed by every test result, not a vague shortlist. If you want to build, the same team moves straight into implementation, carrying the full context from evaluation into your first sprint without a restart.
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Frequently Asked Questions About Technology Vendor Evaluation Services
AI technology vendor evaluation scores vendors on evidence, not pitches.