Opine raises $5M to expand a unified AI workspace for technical sales teams
Opine, a Raleigh-based startup building an AI-native workspace for complex B2B technical sales, has raised $5 million. The round includes $3 million in new funding led by S3 Ventures, with participation from Knoll Ventures, Atlanta Seed Company, Gray Ventures, Propel Ventures, Triangle Tweener Fund, and Feross Aboukhadijeh (CEO, Socket.dev).
The company reports a year of strong momentum, including 10x revenue growth in 2025. The capital will accelerate product development and go-to-market efforts.
Why this matters for product and sales leaders
Complex enterprise deals stretch across months and involve solution engineering, sales, customer success, and product. Teams juggle scattered tools, which leads to rework, missed context, and messy handoffs.
- Context gets rebuilt across every stage
- Deal risk is hard to see early
- Post-sale teams inherit customers without a clear record of what was tested or promised
What Opine offers
Opine positions its platform as a single intelligent workspace that brings teams, data sources, and workflows together across discovery, evaluation, and post-sale delivery.
- Surfaces deal risks earlier
- Automates repetitive work and updates
- Captures evaluations and handoffs accurately
- Keeps sales, SE, CS, and product aligned throughout the lifecycle
Traction and customers
Opine cites adoption across high-growth software vendors, including Docker, Tailscale, Socket.dev, Gainsight, and BigID. Customers report time savings, faster answers, and tighter internal alignment after moving to the platform.
What the funding enables
- Deeper workflow automation
- Real-time deal intelligence
- Unified data infrastructure
- Expanded market presence as technical sales and solution engineering gain priority inside B2B orgs
Founding team
Opine was founded by Akash Ganapathi, Austin Kelleher, and Charlie Duong. The product aims to replace spreadsheets, ad-hoc knowledge sharing, and manual updates with a system built around how technical sales teams operate in practice.
Key quotes
Akash Ganapathi, CEO and Co-Founder, Opine: "We're excited to use this funding to continue to grow and support our innovative customers. They're building and selling some of the most sophisticated B2B solutions available and need a unified AI-native system that understands their market and supports all the effort that goes into winning complex deals. This investment allows us to deepen our AI capabilities, advance our product, and expand our go-to-market reach."
Eric Engineer, Partner, S3 Ventures: "We are thrilled to be backing the Opine team. After we spoke to executives at multiple customers, it became clear that Opine's AI-native platform consistently makes sales, customer success, and product teams more effective at winning new business and delivering value."
Mark Rida, Director of Solutions Engineering (Opine customer): "Since switching to Opine earlier this year, we've gained clearer opportunity insights, faster answers, and tighter team alignment, often cutting out a 30-minute call with a single question. We're excited to expand our use of their playbooks and to see what the team builds next with their new funding."
Jaime Lewis-Gross, SVP, Sales Engineering (Opine customer): "The Opine team really understands the challenges of presales teams at scale. You can feel it in how they've built their product and with every interaction with their team. We're happy to be able to deliver an excellent working experience to our prospects and customers."
Practical takeaways for product and sales
- Consolidate deal context into a single workspace; make evaluation criteria explicit and shareable
- Instrument handoffs with structured fields: tested scenarios, blockers, integrations, success metrics
- Automate repetitive updates (POC status, risk flags, stakeholder notes) to keep signal high
- Create a "record of promises" to reduce post-sale friction and protect margin
- Connect data sources (CRM, docs, ticketing) so leaders can see risk and effort in real time
- Pilot with one SE pod and one post-sale team; define two success metrics: cycle time and rework
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