Caylent
Caylent is based in Irvine, USA and works in Data Engineering for AI for Smart Buildings & Building Operations.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 80%
- Evidence percentile
- P77
Profile updated · Request a correction
Company & commercials
- Primary category
- MLOps & Infrastructure
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Construction, Real Estate & Built Environment
What Caylent does best.
MLOps & Infrastructure provider for Construction, Real Estate & Built Environment
Caylent is a cloud services and consulting provider that helps organizations evolve their operations through AI integration and data modernization on AWS as a Premier Tier Services Partner. Its own website shows its strongest capability in Data Engineering for AI within MLOps & Infrastructure, alongside MLOps. The industry it describes most is Smart Buildings & Building Operations.
2 platforms & methods
Bars show how many mapped capabilities use each one.
- MLOps1 capability
- Generative AIProfile only
Evidence report
How Caylent compares with peers on evidence, reviews and coverage.
What the evidence says
Caylent presents as a moderate evidence profile for MLOps & Infrastructure. It ranks in the 77th percentile of 1,351 published providers in MLOps & Infrastructure, and no reviews on the profile yet.
Current positioning: P77 evidence quality · P44 industry breadthAI capabilities.
MLOps & Infrastructure
Mapping source · https://caylent.com/services — “ent’s hands-on expertise enabled Criteria to design and build our new data lakehouse infrastructure on Amazon Redshift Serverless in four months, 3 times”
“Caylent has been an outstanding partner in leading Novus from an antiquated physical datacenter to a modern Kubernetes-based Platform running on the AWS cloud.”
Featured 5 of 5 capabilities, ranked by mapping grade then confidence.
Industries served.
- Smart Buildings & Building OperationsDirect · Primary95%
https://caylent.com/ — “together with our AI for HVAC solution will have momentous impact on building operations management, reducing HVAC energy costs by up to 25% and greenhouse ga”
What clients say.
Caylent has been an outstanding partner in leading Novus from an antiquated physical datacenter to a modern Kubernetes-based Platform running on the AWS cloud.
Worked with Caylent? Review them → Every reviewer is verified by RankGlobal.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
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- Primary category
- MLOps & Infrastructure
- Primary industry
- Construction, Real Estate & Built Environment
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which MLOps & Infrastructure problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Construction, Real Estate & Built Environment — the strongest industry signal on this profile.
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