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Opusense AI

AI that turns field notes, voice memos, and photos into branded inspection reports

AI-powered inspection software for construction, engineering, and property teams. Field inspectors capture typed or dictated notes and geotagged photos on a phone or tablet (works offline), and the platform drafts a formatted report matching the firm's existing template, exportable as Word or PDF.

$500K seed (closed June 2025) from Y Combinator and Scale Asia Ventures — per a Crunchbase-derived funding tracker (startupintros.com); the official YC company page does not disclose a funding amount and no primary press release was found. raisedEarly Stage
Founded 2024 · No customer count, named logos, or case studies published as of research date. Per YC-launch coverage (May 2025), the company says it is "live with multiple firms across North America," deployed at mid-size engineering firms, and trialing with some multinational engineering firms that file thousands of reports per week.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Site inspectors, engineers, and consultants spend a large share of their week — the founders cite roughly 20% — turning field observations, voice memos, and photos from a site visit into a formatted client report after the fact, creating a documentation backlog and inconsistent report quality across a firm.

The Solution

Opusense captures short typed or dictated field notes and geotagged/annotated photos on-site through an offline-capable mobile app, then uses a prompt-engineered LLM to expand the notes into full sentences, paragraphs, tables, and photo captions formatted to match the firm's own report template, with a reviewer workflow before the report is finalized and exported as Word or PDF.

USAGE

How You Use It

Delivery Method
SaaSMobile App (iOS & Android)
Integrations
Fieldwire
Disciplines
Construction, Facility Management
Workflows
Coordination & Delivery, Operations & Facility Management
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Residential, Institutional
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Field observations (typed or voice-dictated notes), Site photos
Optional:Firm's existing report template, Site plans/drawings for markup, Fieldwire tasks, forms, and photos (via integration)
Formats:JPG/PNG (photos), PDF, DWG, DOCX (report template)
Output
What you get
Format:AI-drafted inspection/field report matching the firm's branded template
Fields:Narrative paragraphs expanded from field notes, Photo captions and photo log, Tables (e.g., findings, test results), Finding-to-task conversions, Portfolio-level Q&A via dashboard assistant
Algorithm
How it works
Model:Prompt-engineered large language model(s) (specific model/vendor not publicly disclosed)
Accuracy:Not publicly specified — no independent benchmarking or accuracy metrics published. Company claims report-writing time cut by "80%" / "5x" versus manual reporting (self-reported, not independently verified)
Privacy
How your data is protected
Retention:Not publicly specified — the privacy policy does not state a data retention period or deletion schedule
Training:Not publicly specified — the privacy policy does not address whether customer data is used to train AI models; it notes "aggregated, anonymized data" may be shared with unspecified external services
Compliance:SOC 2 Type II badge displayed on the marketing site (audit report itself not publicly available), GDPR: not addressed in the published privacy policy
API
Integration
Endpoint:Contact vendor for API access — no public API documentation found
Method:Not publicly documented
USE CASES

Use Cases

  • ·Converting voice-dictated field notes into formatted, client-ready inspection reports
  • ·Digitizing and modernizing legacy report templates for consistent firm branding
  • ·Offline field documentation with photo and GPS tagging on construction and engineering sites
  • ·Portfolio-wide natural-language querying of past inspection findings via a dashboard assistant
  • ·Syncing Fieldwire tasks/forms/photos into branded reports and pushing follow-up items back to Fieldwire as tasks
PRICING

Pricing

Free
14-day free trial, no credit card required (per the current pricing page; a May 2025 YC-launch interview stated no self-serve trial existed pending template setup — the current pricing page is the more recent source)
Pro
Base: $49/mo per user (up to 100 report pages/mo, AI phrasing, voice-to-text, offline access). Pro ("most popular"): $79/mo per user (up to 1,000 report pages/mo, reviewer workflow, dashboard assistant, multi-lingual support). Teams: $149/mo per user (unlimited report pages, field assistant, insights/analytics page, customizable weekly summary emails). Monthly or annual billing in USD/CAD; annual billing saves ~10-20%.
Enterprise
Custom pricing, requires a demo — dedicated account manager, private Slack access, priority support, custom-branded templates, advanced role-based permissions, region-specific data hosting
Sources & Research NotesResearch date: 2026-07-17
Data Sources (7)
Fields Checked (12)
problem, solution, deliveryMethod, integrations, yearFounded, fundingTotal-amount-and-investors, pricing-tiers, input-formats, output-format, algorithm-approach, compliance-soc2-badge, useCases
Not Found (9)
customerBase-exact-count, algorithm-model-name, algorithm-accuracy-methodology, privacy-retention-period, privacy-training-policy, api-documentation, gdpr-compliance, projectTypes-explicit-statement, exact-data-hosting-region
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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