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BrightHire is an interview intelligence platform that uses AI copilots and agents to streamline every stage of the hiring process. It provides AI-driven interview planning (building structured interview plans and inclusive job descriptions in minutes), an always-on AI interviewer (BrightHire Screen) that automates first-round candidate screening, real-time AI interview notes, transcription, interview scorecards, candidate summaries and decision support, and candidate fraud detection surfacing signals in AI and live interviews. Intended users are recruiters, hiring managers, and talent acquisition teams. Evidenced use cases include structured interview planning, automated first-round screening to widen the considered candidate pool, interview quality measurement and personalized AI interviewer coaching, and candidate fraud detection (see https://brighthire.com).

ORO Labs is an agentic procurement orchestration platform for global enterprises. It guides every procurement request into the right, compliant process and coordinates people, AI agents, and systems in a single workflow across intake management, supplier onboarding and maintenance, and risk orchestration. Intended users include procurement operations managers, vendor management directors, sourcing teams, and finance/purchasing operations in large enterprises. Evidenced use cases: centralized procurement intake management, supplier onboarding and lifecycle maintenance, risk/compliance orchestration aggregating risk signals for suppliers and payments, and spend management. Customer evidence from BASF, Stellantis Financial Services, Grünenthal, JAMF, and Leica Microsystems.

Kira (by Litera) is an AI-powered contract analysis and document review platform purpose-built for high-volume, high-stakes legal review and M&A due diligence. It uses over 1,400 pre-built, lawyer-trained 'smart fields' to extract clauses, key terms and data points across thousands of contracts at once, and offers natural-language cross-document question answering (Kira Grid Chat) with cited answers, plus collaborative review grids for M&A, real estate, banking and finance. Intended users are law firms and in-house legal, contract and M&A teams. It integrates with Microsoft 365, Litera Transact, HighQ and Intralinks.

NetClose is a NetSuite-native financial close automation application by Netgain. It automates the recurring manual tasks of the month-end, quarter-end and year-end close process — reconciliations, amortizations, accruals, journal entries, flux analysis and task tracking — directly within NetSuite. It is intended for accounting and finance teams (controllers, accounting managers) who operate on NetSuite ERP and want to shorten close cycles, reduce spreadsheet-driven errors and gain real-time visibility into close progress. Evidenced use cases include reducing a customer's month-end close from 15 to 7 days (Pura) and reducing close time by about 50 percent, with journal entries created in minutes.

Conveo is an AI-powered qualitative customer research platform that helps enterprise teams gather deep customer insights fast. Its AI moderator conducts voice and video interviews (not avatars) with real people to capture authentic human responses, then analyzes these multimodal inputs to extract themes, quotes and actionable insights. Interviews compound into a queryable research-grade knowledge layer so teams can ask questions and get answers from what the organization already knows. Intended users include insights/CMI teams, marketers, product managers, CX teams, and innovation leads at enterprise companies. Evidenced use cases from conveo.ai: rapid concept & packaging testing, voice-of-customer studies, user journey validation, messaging/campaign feedback, ethnography, usage & attitudes, jobs-to-be-done, brand research, creative & claims testing, UX & design testing, shopper & path-to-purchase, customer experience, MaxDiff and pricing research.

Vibba Insurance AI is an enterprise AI solution for insurance carriers that automates the full claims lifecycle and underwriting. It deploys AI first-notice-of-loss (FNOL) systems that structure and route new claims automatically at report time, computer vision models that assess auto and property damage from policyholder-submitted photos in minutes (reducing in-person adjuster visits), AI-assisted underwriting models that evaluate risk across a broader variable set (with every recommendation reviewable by an underwriter), pattern-based fraud detection across the book of business, and AI customer-service agents handling policy questions and status checks. Intended users are insurance carriers (P&C, auto, property, commercial), adjusters, underwriters and claims operations teams. Evidenced use cases include FNOL triage and straight-through processing, computer-vision damage assessment, underwriting decision support, fraud flagging, and automated claims communication. Integrates with existing policy administration and claims management systems.