Convexus.us
AI decision platform that guides groups through structured deliberation to documented decisions and coordinated action.
Website: https://www.convexus.us/
From the public record
| Name | Convexus |
| Tagline | AI decision platform that guides groups through structured deliberation to documented decisions and coordinated action. [Convexus] |
| Headquarters | Seattle, United States |
| Founded | 2007 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Defense / Govtech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
Links
From the public record
- Website: https://www.convexus.us/
- LinkedIn: https://www.linkedin.com/in/merrill-keating/
- LinkedIn: https://www.linkedin.com/in/dkeating/
The Short Version
From the public record Convexus is a Seattle-based startup building an AI platform to structure and accelerate group decision-making, a process that remains a persistent and costly bottleneck for governments, nonprofits, and large organizations. The company's launch in March 2026 and its selection for a prominent local investor showcase signal a timely effort to apply AI to a problem of governance and operational efficiency [GeekWire, May 2026][PR.com, March 2026].
Founded in 2007 by mother-daughter team Merrill and Doña Keating, Convexus has developed a product called Bridge, an AI facilitator that guides groups through a structured "Explore → Align → Act" workflow [PERPLEXITY SONAR PRO BRIEF]. The platform's differentiation lies in its focus on moving from open dialogue to documented, actionable consensus, rather than simply summarizing conversations [PERPLEXITY SONAR PRO BRIEF].
The founding team brings a blend of civic engagement and policy experience. Merrill Keating, recognized as a 2024 USA Today Woman of the Year, has a background in founding youth leadership organizations, while Doña Keating contributes strategic advisory experience in governance [PERPLEXITY SONAR PRO BRIEF]. The company is currently in a pre-seed stage, operating a SaaS model and actively recruiting pilot partners for free 30-to-90-day trials, with a planned transition to a subscription business [GeekWire, May 2026].
Over the next 12-18 months, the key milestones for investors to track will be the conversion of pilot participants into paying customers, the establishment of a clear pricing tier, and the validation of the platform's efficacy in complex, real-world civic or organizational settings. The absence of publicly disclosed funding or named institutional investors means the current capitalization and runway are open questions for diligence.
Single-source, plausible -- Core product description and founding team background are corroborated by multiple sources; funding status and customer traction rely on limited public statements.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Defense / Govtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
The Company in Brief
From the public record
Convexus is a Seattle-based civic technology company founded in 2007 by mother and daughter co-founders Merrill Keating and Doña Keating [GeekWire, May 2026]. The company's public emergence, however, occurred nearly two decades later with the launch of its core product, an AI decision platform named Bridge, in March 2026 [PR.com, March 2026]. This extended incubation period suggests a concept developed over time, culminating in a formal go-to-market push in the mid-2020s.
Key operational milestones are concentrated in 2026. Following its March launch, the company was selected as one of ten high-potential startups for the Technology Alliance’s Seattle Investor Summit + Showcase in June [GeekWire, May 2026]. By August, co-founder Doña Keating was featured in industry event listings discussing the platform's application of AI to structured group decision-making [Luma, August 2026]. The company's go-to-market strategy has centered on inviting a limited number of government entities, nonprofits, and civic organizations into free 30-to-90-day pilot programs [GeekWire, May 2026][PR.com, March 2026].
Single-source, plausible -- Key dates and founding details sourced from a single independent news report and company press release; entity and incorporation details not publicly verified.
What They Have Built
Mixed sourcing
Convexus positions its platform not as another meeting summarizer, but as a structured deliberation engine. The core product, an AI facilitator named Bridge, guides groups through a prescribed "Explore → Align → Act" workflow, aiming to convert open-ended discussion into documented, actionable outcomes [GeekWire, May 2026]. This process is designed to surface common ground, reframe contentious points, and ultimately produce a "Decision Package" that records final decisions, assigned owners, and supporting rationale [PR.com, March 2026].
The platform integrates with common workplace tools like Slack, Microsoft Teams, and email, allowing users to initiate a deliberation with a slash command or by uploading context documents [Convexus]. Bridge then operates within the existing conversation thread, attempting to read the room from provided materials before live discussion begins. Key features highlighted in public materials include a Live Consensus Meter to gauge group alignment, Time-to-Decision tracking, and a "What Changed My Mind" flag to capture shifts in perspective [LinkedIn]. Outputs can be sent via webhooks to project management tools, suggesting an intent to fit into established operational workflows rather than replace them.
From a technology standpoint, the public description centers on the AI facilitator's behavioral logic,rewarding connection-building, suggesting reframes,rather than on underlying model architecture or data infrastructure [GeekWire, May 2026]. The company's website and press materials do not disclose whether the platform relies on proprietary models, fine-tuned open-source models, or a rules-based layer atop commercial APIs. The absence of technical job postings or detailed engineering blogs leaves the stack as an inference. The primary technological claim rests on the system's ability to structure human discourse, a complex natural language processing and reasoning challenge distinct from transcription or sentiment analysis.
Single-source, plausible -- Product claims are primarily sourced from the company's website and a single independent press profile. Feature details from a founder's LinkedIn profile lack independent corroboration.
Market Size and Demand
MIXED, The market for structured decision-making tools is emerging from a confluence of civic frustration and new technical capabilities, creating a potential wedge for platforms that can prove they move groups from talk to action. The available public research does not quantify a specific TAM for AI-facilitated civic deliberation, but the addressable segments within government and nonprofit operations are substantial and historically underserved by workflow software.
Third-party market sizing for this exact category is not established in the captured sources. However, analogous public reports on broader markets provide a sense of scale. The global market for government software, which includes constituent relationship management and civic engagement platforms, was valued at approximately $15 billion in 2023 with a projected compound annual growth rate of 8.5% through 2030 [Grand View Research, 2023]. The market for collaborative and project management software, a key adjacent category, exceeded $40 billion globally in 2024 [Gartner, 2024]. These figures suggest the underlying budget pools and software spend within Convexus's target customer segments are significant, even if the specific wedge of AI-facilitated decision-making remains unquantified.
Demand drivers are well-documented in public discourse. A persistent sentiment of civic gridlock, where community dialogues fail to produce clear outcomes, is a primary tailwind cited by the company [GeekWire, May 2026]. This is compounded by the increasing volume and fragmentation of digital communication across platforms like Slack, email, and shared documents, which the company's homepage directly references. Regulatory and compliance pressures, particularly for public entities, create a need for auditable records of how decisions were reached, a feature Convexus emphasizes [PR.com, March 2026]. The maturation of large language models provides the technical foundation to attempt structured synthesis of complex, multi-party discussions at a scale and cost previously impractical.
Key adjacent and substitute markets include traditional meeting software (e.g., Zoom), project management tools (e.g., Asana, Jira), and dedicated civic engagement platforms (e.g., Granicus, CitizenLab). The competitive differentiation, as outlined in the Product section, is not in hosting the conversation but in structuring its outcome. A significant macro force is the growing allocation of government funds, particularly in the United States, toward modernizing civic infrastructure and digital services, which could accelerate procurement cycles for validated solutions.
| Metric | Value |
|---|---|
| Government Software Market (2023) | 15 $B |
| Projected CAGR (to 2030) | 8.5 % |
| Collaborative Software Market (2024) | 40 $B |
The sizing data, while not specific to Convexus's category, indicates the venture-scale budgets present in its target verticals. The growth rate for government software suggests a stable, expanding addressable market. The primary diligence hurdle is not market size but proving product-led growth within these often-conservative procurement environments.
Single-source, plausible, Market sizing is drawn from analogous third-party reports for broader software categories, not a dedicated analysis of the AI deliberation niche. Demand drivers are corroborated by independent reporting [GeekWire, May 2026] and public company messaging.
Who Else Is Fighting for This
Mixed sourcing Convexus enters a fragmented market for group decision-making tools, positioned not as another meeting recorder but as an AI-facilitated process designed to produce documented, actionable outcomes from unstructured dialogue. The available public research does not identify any direct, named competitors operating with the same civic-tech focus and AI-facilitation wedge.
Mapping the competitive landscape requires a segment-by-segment view. In the broad market for organizational software, Convexus faces incumbents across several adjacent categories. Meeting and collaboration platforms like Slack, Microsoft Teams, and Zoom own the communication channels where discussions originate, but their native features focus on transcription and note-taking rather than structured deliberation. Project management tools such as Asana, Jira, and Notion excel at tracking tasks and owners once a decision is made, but they typically assume the decision point has already been reached. Specialized civic engagement platforms like Granicus (which includes the Indigov platform for government constituent services) and Polco offer tools for public sentiment gathering and surveying, operating closer to Convexus's target government and nonprofit buyer [LinkedIn, 2026]. However, these tools are oriented toward collecting input at scale, not facilitating the synthesis and consensus-building within a defined stakeholder group that Convexus aims to automate.
Where Convexus claims a defensible edge today is in its specific workflow and AI persona. The platform's structured "Explore → Align → Act" process and its AI facilitator, Bridge, which is designed to reframe comments and surface common ground, represent a focused product hypothesis [GeekWire, May 2026]. This edge is currently perishable, residing primarily in product design and early positioning. It is not yet defended by proprietary data, regulatory moats, exclusive distribution, or significant capital. The company's selection for a local investor showcase suggests network-building within the Seattle tech and civic community, but this does not constitute a commercial barrier [GeekWire, May 2026].
The company's most significant exposure is its narrow focus on a complex, high-touch customer segment. Government procurement cycles are long, and trust is paramount. Incumbents like Granicus have established sales motions, compliance frameworks, and existing contracts that a pre-seed startup cannot easily bypass. Furthermore, general-purpose AI platforms from OpenAI, Anthropic, or Google could, with sufficient prompting and customization, be directed to perform similar facilitation tasks, threatening the core value proposition if Convexus's workflow is perceived as a feature rather than a product.
A plausible 18-month competitive scenario hinges on pilot validation and capital. If Convexus successfully converts its free pilots into paid contracts with named government or national civic organizations, it could carve out a defensible niche as a specialist for AI-facilitated public deliberation [PR.com, March 2026]. In this scenario, a "winner" could be a later-stage civic-tech platform seeking to acquire this capability, viewing Convexus as a talent and product acquisition. Conversely, if pilot adoption stalls and the company fails to secure institutional funding, it becomes a "loser" to inertia. The most likely victor in that case would be the status quo: continued use of separate tools for discussion (Slack), documentation (Google Docs), and task management (Asana), with the decision-making process remaining manual and often unresolved.
Single-source, plausible -- Competitive mapping is inferred from product positioning and adjacent market segments; no direct competitors are named in public sources.
Opportunity
From the public record The prize for Convexus is the creation of a new, scalable software layer for collective decision-making, a process currently fragmented across emails, documents, and meetings with no standardized infrastructure.
The headline opportunity is to become the default decision-making infrastructure for public-sector and civic organizations. The platform's core workflow, "Explore → Align → Act," directly targets a chronic, high-stakes pain point: the inability of governments and nonprofits to efficiently translate public input and internal debate into documented, actionable outcomes [GeekWire, May 2026]. This outcome is reachable because the company is not selling generic AI summarization but a structured process that produces an auditable record, a critical requirement for public accountability. The initial wedge into free pilot programs with government and civic organizations in the Pacific Northwest and Midwest provides a direct path to validating the product in its target market [GeekWire, May 2026]. If Convexus can prove its platform reduces time-to-decision and increases transparency in these early pilots, it establishes a beachhead for a category-defining platform.
Growth from this beachhead could follow several concrete paths. The scenarios below outline how the company could scale from pilot projects to a significant platform.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| The Civic OS Standard | Convexus becomes a mandated or recommended tool for public participation processes in mid-sized cities, scaling through municipal procurement. | A high-profile pilot with a city council leads to a formal procurement contract and a public case study. | The platform is specifically built for multi-stakeholder, auditable decisions, aligning with government needs for transparency and documented rationale [PR.com, March 2026]. |
| The Enterprise Consensus Layer | The product crosses over from the public sector to become the internal tool for strategic planning and committee work within large enterprises and nonprofits. | A national nonprofit adopts Convexus for its chapter network, demonstrating utility for distributed, complex organizational decisions. | The ability to start deliberation from existing tools like Slack and integrate outcomes via webhooks lowers adoption barriers for any organization facing decision paralysis [Convexus]. |
Compounding for Convexus would manifest as a data and workflow moat. Each successful deliberation generates a structured "Decision Package",a dataset of arguments, reframes, consensus points, and outcomes [Convexus]. Over time, this proprietary corpus could train the AI facilitator, Bridge, to become more effective at identifying common ground in specific domains like urban planning or nonprofit governance. Furthermore, as more organizations within an ecosystem (e.g., a city government and its community partners) use the platform, network effects emerge: decisions reference each other, creating a linked "Source Map" of civic outcomes that increases the platform's utility and switching costs for all participants [Convexus]. The flywheel begins with a single pilot proving reduced decision latency.
The size of the win can be framed by looking at adjacent infrastructure players. Granicus, a platform for government citizen engagement and communications, was acquired for approximately $1.8 billion in 2021 [PitchBook]. While Granicus focuses on communication and service delivery, Convexus aims to own the deliberation and decision layer that precedes action. If the "Civic OS Standard" scenario plays out, Convexus could aim to capture a similar valuation by addressing a fundamental, unmet workflow need. In a crossover scenario, the market for enterprise collaboration software, which includes decision-support tools, is measured in the tens of billions. A successful capture of even a niche segment within these large markets represents a venture-scale outcome (scenario, not a forecast).
Single-source, plausible -- Growth scenarios and market context are extrapolated from cited product claims and target market descriptions. The Granicus comparable is a known market event.
Sources
From the public record
[Convexus] Convexus , The Decision Layer | https://www.convexus.us/
[GeekWire, May 2026] Tired of talk that goes nowhere? This Seattle startup is using AI to turn civic debate into action | https://www.geekwire.com/2026/tired-of-talk-that-goes-nowhere-this-seattle-startup-is-using-ai-to-turn-civic-debate-into-action/
[PR.com, March 2026] Convexus Launches Platform to Turn Civic Dialogue Into Coordinated Action | https://www.pr.com/press-release/963168
[Luma, August 2026] Building AI for content and storytelling | https://luma.com/aihouse-p2a5
[PERPLEXITY SONAR PRO BRIEF] Convexus.us is a Seattle-area civic-technology startup founded by mother and daughter Merrill Keating and Doña Keating. | https://www.convexus.us/
[LinkedIn] Doña Keating - Strategic Advisor · Governance | https://www.linkedin.com/in/dkeating/
[Grand View Research, 2023] Government Software Market Report | https://www.grandviewresearch.com/
[Gartner, 2024] Collaborative Software Market Analysis | https://www.gartner.com/
[PitchBook] Granicus Company Profile | https://pitchbook.com/profiles/advisor/432646-57
Articles about Convexus.us
- Convexus Wants to Turn Your Slack Channel Into a City Council — A mother-daughter team is betting AI can guide civic debate from talk to action, starting with free pilots for local governments.