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Company profile · 4 min read

Opusense AI: Field reports while the inspector is still on site

Opusense turns field photos, voice notes and observations into branded reports and a shared field-operations workflow.

Opusense AI turns field notes, photos and voice into construction and inspection reports. It fits teams that lose hours writing up site work after the inspection is already over.

What it does

Opusense’s homepage describes an AI-native field-operations platform for constructors, engineers and property teams. Inspectors can capture photos, voice notes and typed observations on a mobile device, including offline, then generate branded reports and keep an audit trail.

The company’s public workflow spans three groups: field-review teams, constructors and owners or facilities teams. That is important. A report is not the final product if the next person still has to reformat it, issue tasks, answer questions and send progress updates.

The retained launch material says Opusense was built for engineering consultants and site inspectors, with exports to Word or PDF. It also says the company was live with multiple firms across North America. That is company-reported adoption, not an independent customer survey.

Pricing and fit

Opusense’s pricing page lists Base at $49/month per user, Pro at $79/month per user and Teams at $149/month per user. The plans differ in report volume, reviewer workflow, dashboard queries, multilingual support, summaries and team controls. Enterprise is custom and includes role-based permissions, region-specific hosting and onboarding.

That packaging maps cleanly to the buyer. A solo inspector needs capture and report generation. A working team needs review. A multi-department organization needs shared data, pre-filters, summaries and permissions.

The founder context is relevant: the YC profile describes Roya Cody as a civil-engineering researcher with construction and infrastructure inspection experience, and Michael Bacani as an engineer from construction technology startups. Those are source-backed professional facts, not proof of field performance.

What could make it the wrong choice

The system depends on the quality of site capture, templates and review. Offline support helps in the field, but buyers still need to verify sync, GPS/photo retention, report corrections and client access. The public sources do not provide an independent error rate or review-time comparison.

My editorial take

I would shortlist Opusense for an inspection or engineering team where report backlog is a measurable cost and the firm has templates worth preserving. The product is less compelling if the work is mostly unstructured consulting or if nobody owns the review step. The useful bet is not “AI writes reports.” It is that field evidence can become a shared operational record while the inspector is still on site.

Quick facts

FieldSourced detail
ProductMobile field capture, AI report generation and operations workspace
BuyersInspectors, engineering consultants, constructors and property teams
Pricing$49 Base; $79 Pro; $149 Teams per user/month; Enterprise custom
Key boundaryOffline capture plus reviewer workflow and audit trail
Public statusCompany homepage says SOC 2 Type II certified; company claim

Sources checked

SourceChecked
YC profile2026-09-19
Opusense homepage2026-09-19
Pricing2026-09-19
YC launch2026-09-19

Cohort context

Opusense AI is listed in Spring 2025. In our 2026-09-18 directory snapshot, 1 of 143 listed companies in that cohort have YC’s primary industry label Real Estate and Construction (0.7%). This is a current-directory comparison, not an original intake count or a performance ranking. Nine-cohort dataset.

Public website snapshot

Observed 2026-09-19 16:15 UTC in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

SignalHomepage observation
Product description metadataObserved
Canonical linkNot observed in this response
H1 or H2 headingObserved
Typed structured dataNot observed in this response
Docs/developer linkNot observed in this response
Pricing linkObserved
llms.txt linkNot observed in this response
Markdown alternateNot observed in this response

Public observations · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.

Ali Abouelatta

About the author

Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).

I cofound Lazyweb, which publishes this site. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.

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