TigerEye
by TigerEye · AI for construction, now joining homebuilder Lennar
BenchRank score
Screenshots of TigerEye
Homepage
Overview
TigerEye describes itself as AI for construction and says it focused on helping builders get answers faster and spend less time searching for information. The company states it is joining Lennar, a homebuilder, to apply that work to how homes are planned and delivered. The captured pages give no detail on features, integrations or how the product works.
- Best for
- Construction and homebuilding teams that want faster answers from their own information.
- Pricing
- No pricing figures or plans are shown in the captured text.
Strengths and trade-offs
Strengths
- Aimed at construction work rather than general business use
- States a focus on cutting time spent searching for information
- Trust Center, terms and privacy policy are published
Trade-offs
- Joining Lennar; unclear whether it stays available as a product
- Pages describe no features, integrations or interfaces
- No pricing published anywhere in the captured text
Pricing
Published plans and prices from TigerEye’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
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Where this comes from
The TigerEye pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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