By: Zach Gebhard, Orpical Technology Solutions
The startup launching a limited beta in Q4 says it can turn passive member lists into active networks by teaching AI how humans connect.
When members stop showing up, it rarely happens overnight. Attendance drops quietly, email engagement slips, and renewals taper off. That slow fade has become a full-blown crisis for chambers of commerce, alumni networks, and professional associations across the country.
According to the American Society of Association Executives (ASAE), nearly half of members fail to renew after their first year. The number one reason? “I didn’t feel connected.”
That problem has inspired a new class of technology built to repair professional networks from within. Among the latest entrants is Langis.ai, a startup that believes artificial intelligence can help organizations rebuild the human connection lost in a sea of digital noise.
Led by CEO Layne Frank, Langis will open a limited beta in Q4 for select chambers, trade associations, and alumni groups. The company’s central patent-pending innovation, the Connection Compatibility Algorithm (CCA), analyzes how members interact and recommends the proper introductions and collaborations. Frank insists the goal isn’t to automate networking; “it’s to make it exponentially human again.”
The Engagement Problem No One Has Solved
Membership organizations are swimming in data but starving for insight. They know who their members are, but not what keeps them involved.
“Most organizations have CRMs, event software, and email systems,” says Frank. “But they’re siloed. Disconnected from one another and from reality. None of them tells you which members are feeling disengaged or which members should connect and why.”
Langis.ai was born from that disconnect. The company’s executive team, Edward DuCoin, a serial entrepreneur who previously took a marketing firm public on NASDAQ, and Stefan Schulz, a global software solutions executive working within hospitality, finance, and member service organizations were with Layne Frank from day one. “Our journey started together with Virtual 5 O’Clock (V5O), a membership networking group that grew to 1,500 professionals during COVID, ” said Frank. “We discovered something troubling: for every new member we gained, we eventually lost two. This wasn’t an isolated community problem; it revealed a gap in how professionals identify valuable connections. The human brain isn’t designed to process compatibility at this scale. We knew there had to be a better way, so we built technology to handle something humans were never equipped to do: evaluate significantly sized datasets of relationship possibilities to find the few that truly matter.”
“We kept hearing the same story,” Schulz says. “Organizations had spreadsheets full of names but no intelligence on relationships. We decided to build something that could think the way a great community manager does, but at scale.”
Inside the Langis Beta
The Langis beta will include a group of early adopters. Participants will test two main features:
- AI-powered matchmaking that identifies and connects compatible members.
- Engagement dashboards measuring relationship strength and member sentiment.
How “Connection Intelligence” Works
At the heart of Langis.ai is the Connection Compatibility Algorithm (CCA), an adaptive AI model that learns how members behave, what they respond to, and who they interact with most.
“It’s a bit like Spotify for business relationships,” Schulz explains. “The more members engage with it, the smarter it gets about predicting who they’ll find valuable next.”
The algorithm synthesizes three data types:
- Explicit (profiles, industries, and goals)
- Implicit (responses, engagement patterns)
- Temporal (activity and trends over time)
From there, the system builds a dynamic relationship path. It highlights which connections are thriving, dormant, and where untapped opportunities lie.
Addressing the Skeptics
AI-powered engagement comes with natural skepticism. What happens if the algorithm gets it wrong or if it feels intrusive?
Frank says the company designed Langis to earn trust, not assume it. The platform only uses first-party, consent-based data from the organization and no scraping or external surveillance.
The platform also incorporates a feedback loop so users can flag bad recommendations. Each correction re-trains the model, making it smarter over time.
“AI is only as good as its humility,” Stefan Schulz adds. “We built Langis to learn like people do: from trial and feedback and without unnecessary assumptions.”
Competing in the “Agent Economy”
Langis operates in what analysts now call the agent economy, a wave of AI systems that don’t just analyze data but act on it autonomously.
While Salesforce, HubSpot, and Microsoft have all introduced AI-driven insights, Langis focuses narrowly on relationship intelligence rather than sales or marketing optimization.
“CRM platforms were built for transactions,” says Schulz. “We’re building for trust and belonging.”
That distinction, Frank believes, is what sets Langis apart. “Community managers don’t need another reporting tool,” he says. “They need a partner that helps them make better human decisions.”
Industry watchers are paying attention. A recent McKinsey report highlighted that organizations leveraging AI for relationship management have seen improved customer retention. With membership engagement facing significant challenges, timing could be a key advantage for Langis.
The Human Amplifier
Langis doesn’t aim to replace human effort—it seeks to amplify it.
“AI often gets cast as cold or impersonal,” DuCoin says. “But when it’s used to help humans connect faster and better, it becomes the most human technology of all.”
For community managers, the tool could be transformative. Instead of guessing which members to call, they’ll log into a dashboard that suggests who to contact and why. A specific goal of the beta is for each early adopter to consider the CCA not as software but as a marketing and administrative teammate.
“Engagement is emotional,” Frank notes. “Langis doesn’t change that—it supports it and amplifies it.”
Why Now?
The pandemic shattered traditional networking models. Events went virtual, attention spans shrank, and the sense of belonging eroded. As hybrid professional life settles in, organizations are desperate to personalize engagement at scale.
“AI is the first technology capable of handling that complexity,” Frank says. “We’re entering a moment where automation can feel authentic.”
Langis’s executives argue that the timing isn’t just opportunistic, it’s necessary. “If organizations don’t modernize how they connect members,” DuCoin warns, “they risk fading into irrelevance.”
What’s Next
Langis plans to expand its beta through early 2026, followed by a full rollout in Q2 2026. The company’s roadmap includes vertical AI agents for specific sectors like higher education and law, each fine-tuned to the networking dynamics of those industries.
Langis is also exploring white-label licensing, allowing organizations to brand their software version while retaining full data ownership.
Investor interest is rising, but Frank says the company remains focused on proof, not hype. “Our success won’t be measured in downloads,” he says. “It’ll be measured in conversations that wouldn’t have happened otherwise.”
The Bottom Line
Langis.ai isn’t promising to solve human disconnection with code. It’s offering a new kind of intelligence designed to make the digital world feel personal again.
If it succeeds, the company might not just help organizations keep their members. It might help them rediscover what connection actually means.
Langis.ai at a Glance
- Founded: 2024 (New York, NY)
- CEO: Layne Frank
- Website: www.langis.ai
