Dili
AI NativeAutomating PWA compliance and due diligence. Backed by Y Combinator (S23), Allianz, Rebel Fund and more.
Est 2023|Valuation $7.1M|Raised $4.1M
Automating PWA compliance and due diligence. Backed by Y Combinator (S23), Allianz, Rebel Fund and more.
Published Jul 14, 2026
No formal public roadmap with dated commitments was discovered in the reviewed sources. Buyers should request a product roadmap and delivery timelines during procurement.
Searches did not locate Dili product pages with a significant number of third-party reviews on platforms such as G2, TrustRadius, Capterra, or Gartner Peer Insights. This is consistent with an early-stage company profile, but it reduces the available independent signals on product maturity, reliability, and support responsiveness.
Community discussion sources (Hacker News, Reddit) did not yield high-signal user discussion threads during this research run.
The absence of a robust third-party review footprint makes it difficult to validate customer satisfaction, support quality, and reliability at scale. Vendor-provided testimonials are useful for understanding positioning and potential benefits but do not replace reference checks or pilot validation.
The vendor cites protection of investment tax credits and similar impact metrics in public messaging. These are material claims and should be validated through customer references, documented audit outcomes, or third-party attestations.
A plausible ICP based on vendor messaging and market patterns:
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The vendor publishes short customer quotes attributed to roles such as CFO at a national EPC firm, VP of Development at an energy developer, and a project manager at an electrical contractor. Examples (vendor-published):
These are vendor-curated testimonials and should be treated as anecdotal evidence until validated via reference calls or independent reviews.
Vendor-published metrics include items such as:
Critical evaluation: These metrics indicate directions of potential impact but do not include methodology, sample sizes, or time periods, and are not supported by independent audit artifacts in public materials. Buyers should request anonymized before/after workflow metrics, details on methodology, and any available third-party validation when evaluating claims.
Dili is a compliance automation platform that uses machine learning models for prevailing wage and apprenticeship (PWA) and related project compliance workflows for federally funded and other regulated construction, energy, and infrastructure projects. Key capabilities include:
Dili's public materials also describe services that combine software and professional services: full-service compliance monitoring, retrospective audits (look-back assessments), and software platform automation.
The vendor has also described a product aimed at deal diligence / data room processing for investors (private equity, venture capital, private credit, tax credit diligence, lease abstraction, etc.) with confidence scoring and source highlighting. This dual messaging introduces some positioning ambiguity for buyers evaluating the company.
Primary target customers indicated by Dili's materials:
Secondary target segments referenced in external coverage: