CodeWords: Conversational AI Workflow Automation Platform

1. Executive Snapshot

Core offering overview: CodeWords represents a paradigm shift in workflow automation, transforming how businesses create and deploy intelligent automations through natural language interaction. Developed by Agemo, this AI-native platform eliminates traditional drag-and-drop interfaces in favor of conversational workflow creation, where users simply describe their automation needs and receive fully functional, production-ready workflows. Built on the proprietary Dunia neurosymbolic reasoning engine, CodeWords combines the accessibility of no-code platforms with the power and flexibility of traditional programming environments.

Key achievements \& milestones: Agemo emerged from stealth in November 2024 after securing a \$4 million seed round led by Fly Ventures and firstminute capital, the same investors behind autonomous driving pioneer Wayve. The founding team, comprising CEO Aymeric Zhuo and CTO Osman Ramadan, brings exceptional credentials from TikTok, Microsoft Research, and Cambridge University. Their work has garnered academic recognition, including features in the ARC-AGI report 2024, demonstrating significant contributions to artificial general intelligence research. The platform launched on Product Hunt in September 2025, showcasing robust early adoption metrics across diverse automation templates.

Adoption statistics: Early traction demonstrates strong market validation, with the Rapid CV template achieving over 10,000 runs, Competitor Socials Analysis reaching 6,000 runs, and the Person Finder from Slack accumulating 2,400 runs. The platform supports over 2,000 integrations through Pipedream partnerships, enabling comprehensive connectivity across business tools and services. User engagement patterns indicate particularly strong adoption among go-to-market teams, data scientists at investment firms, and project managers at leading consulting companies, suggesting effective product-market fit in professional automation use cases.

2. Impact \& Evidence

Client success stories: CodeWords demonstrates exceptional versatility across professional environments, with early adopters including data scientists at multistage investment firms who leverage the platform for automated research workflows and competitive analysis. Project managers at leading consulting firms utilize CodeWords for client data processing and report generation, significantly reducing manual effort while maintaining accuracy. No-code developers have embraced the platform as a bridge between simple automation tools and complex programming requirements, enabling creation of sophisticated workflows without traditional coding barriers.

Performance metrics \& benchmarks: The platform processes workflows through secure, isolated sandbox environments with automatic scaling capabilities that handle concurrent execution without performance degradation. Average workflow creation time has been reduced from hours to minutes, with users reporting significant productivity improvements in automation development cycles. The pay-per-use model ensures cost efficiency, charging only for compute time, AI model usage, third-party API calls, and storage, allowing organizations to optimize expenses based on actual utilization rather than fixed subscription costs.

Third-party validations: Industry recognition includes strategic backing from prominent technology leaders and successful entrepreneurs, with angel investors representing major technology companies including Datadog, SwiftKey, Google DeepMind, and Wayve. Academic validation comes through the team’s research publications and recognition in the ARC-AGI report, establishing credibility within the artificial intelligence research community. The platform’s technical foundation receives validation through its neurosymbolic approach, which addresses fundamental limitations of traditional automation systems that rely solely on pattern matching or rule-based logic.

3. Technical Blueprint

System architecture overview: CodeWords operates on a serverless architecture that automatically provisions and manages computational resources based on workflow demands. The core Dunia engine employs neurosymbolic reasoning, combining neural network capabilities with symbolic logic to understand user intent and generate appropriate automation logic. Each workflow executes within secure, isolated sandbox environments that prevent cross-contamination and ensure data privacy. The system supports FastAPI applications written in Python, with automatic package management through PEP 723 headers for dependency resolution.

API \& SDK integrations: The platform provides extensive connectivity through over 2,000 integrations via Pipedream partnerships, covering major business applications, data sources, and communication platforms. Built-in access to leading AI models from OpenAI, Anthropic, and Google Gemini enables sophisticated natural language processing and reasoning capabilities within workflows. The Chrome extension extends functionality to web-based automation tasks, while the CodeWords client enables inter-workflow communication and orchestration of complex multi-step processes.

Scalability \& reliability data: Infrastructure design emphasizes horizontal scalability with automatic resource allocation based on workflow complexity and execution requirements. The platform maintains high availability through distributed processing capabilities and robust error handling mechanisms that provide detailed logging and debugging information. Performance monitoring includes real-time analytics for tracking workflow execution times, resource utilization, and cost optimization metrics, enabling users to make informed decisions about automation efficiency and resource allocation.

4. Trust \& Governance

Security certifications: While specific enterprise security certifications are still being pursued as the platform scales, CodeWords implements industry-standard security practices including secure sandbox execution environments that isolate each workflow from system resources and other user data. The serverless architecture inherently provides security benefits through ephemeral execution environments that eliminate persistent attack surfaces. Data encryption protocols protect information in transit and at rest, while access controls ensure appropriate user permissions and authentication mechanisms.

Data privacy measures: The platform operates under strict data privacy principles, ensuring that user workflows and data remain isolated within secure execution environments. Temporary execution contexts prevent data persistence beyond workflow completion unless explicitly configured by users. Third-party integrations operate through authenticated API connections that maintain user credentials securely without exposing sensitive information to unauthorized systems or processes.

Regulatory compliance details: Agemo demonstrates commitment to responsible AI development through its research-backed approach to automation safety and reliability. The neurosymbolic architecture provides interpretable automation logic, enabling audit trails and compliance verification for regulated industries. As the platform expands enterprise adoption, development roadmaps include comprehensive compliance certifications for standards such as SOC 2, ISO 27001, and industry-specific regulations relevant to financial services and healthcare sectors.

5. Unique Capabilities

Infinite Canvas: The conversational interface enables unlimited creativity in workflow design, allowing users to describe complex automation scenarios without being constrained by predefined templates or rigid interface elements. This approach supports iterative refinement through natural language feedback, enabling users to modify and enhance workflows through ongoing dialogue rather than manual configuration adjustments.

Multi-Agent Coordination: The Dunia engine orchestrates multiple AI agents specialized for different aspects of workflow creation, including requirement analysis agents, integration specialists, testing agents, and deployment coordinators. This multi-agent approach ensures optimal performance for specific tasks while maintaining system-wide coherence and reliability through coordinated execution and validation processes.

Model Portfolio: CodeWords maintains high availability and performance through diversified AI model access, automatically selecting appropriate models based on task requirements and current availability. The platform’s integration with OpenAI, Anthropic, and Gemini models provides redundancy and optimization opportunities, ensuring consistent service levels even during high-demand periods or individual model limitations.

Interactive Tiles: User experience design emphasizes intuitive interaction through dynamic interface elements that adapt to workflow complexity and user preferences. The chat-driven interface reduces cognitive load compared to traditional automation platforms, while providing visual feedback and confirmation throughout the workflow creation process to ensure user intent alignment with automated implementation.

6. Adoption Pathways

Integration workflow: Getting started requires minimal setup, with users beginning workflow creation immediately through the conversational interface without infrastructure configuration or complex onboarding procedures. The Chrome extension installation enables web-based automation capabilities, while API access provides programmatic integration for advanced users and enterprise environments. Template libraries accelerate common use cases, allowing users to remix proven automation patterns for specific business requirements.

Customization options: The platform balances accessibility with flexibility through code-first workflow representation, enabling users to view and modify underlying automation logic when needed. Natural language modification capabilities allow non-technical users to adjust workflow behavior through conversational commands, while technical users can access FastAPI code directly for advanced customizations and integrations with existing systems and processes.

Onboarding \& support channels: New user experience includes guided tutorials and example workflows that demonstrate platform capabilities across various use cases. Documentation provides comprehensive guidance for both conversational workflow creation and technical implementation details. Community support channels and direct customer assistance ensure users can maximize platform value while contributing to the growing ecosystem of shared automation templates and best practices.

7. Use Case Portfolio

Enterprise implementations: Large organizations utilize CodeWords for automating complex data processing workflows, competitive intelligence gathering, and cross-platform integration tasks that traditionally required significant development resources. Enterprise use cases include automated lead generation from professional networks, content monitoring and analysis across multiple platforms, and sophisticated data enrichment workflows that combine multiple information sources for comprehensive business intelligence applications.

Academic \& research deployments: Research institutions and academic organizations leverage CodeWords for data collection and analysis workflows that support scholarly research across social sciences, market research, and technology adoption studies. The platform’s ability to integrate diverse data sources and automate complex analysis processes enables researchers to focus on interpretation and insights rather than manual data gathering and processing tasks.

ROI assessments: Organizations report significant time and cost savings through reduced manual labor in repetitive tasks, faster turnaround times for complex data processing requirements, and improved accuracy through automated workflows that eliminate human error in routine operations. Return on investment typically manifests within the first month of deployment through productivity improvements and reduced operational overhead for data-intensive business processes.

8. Balanced Analysis

Strengths with evidential support: CodeWords excels in democratizing automation creation through its conversational interface, enabling business users without technical backgrounds to create sophisticated workflows that previously required programming expertise. The neurosymbolic architecture provides reliability and interpretability advantages over purely neural approaches, while the extensive integration ecosystem ensures compatibility with existing business tools and processes. Strong founder credentials and investor backing provide credibility and resources for continued innovation and platform development.

Limitations \& mitigation strategies: As a relatively new platform, CodeWords faces challenges including limited long-term track record compared to established automation platforms and potential complexity in handling highly specialized or niche integration requirements. Mitigation strategies include continuous platform development based on user feedback, expanding integration partnerships, and maintaining strong technical support channels to address complex use cases as they emerge in the growing user base.

9. Transparent Pricing

Plan tiers \& cost breakdown: CodeWords operates on a transparent pay-per-use model that charges users only for actual resource consumption, including compute time for workflow execution, AI model usage for natural language processing and reasoning tasks, third-party API calls for external integrations, and data storage requirements. The freemium structure includes a generous free tier that enables users to evaluate platform capabilities without upfront investment, while paid plans begin at \$49 monthly for increased usage limits and premium features.

Total Cost of Ownership projections: TCO analysis demonstrates significant value compared to traditional automation development approaches, with typical organizations achieving cost neutrality within 30-60 days through reduced manual labor and faster automation deployment cycles. The pay-per-use model ensures cost scalability that aligns with business value generation, avoiding the fixed costs associated with traditional enterprise software licenses while providing usage transparency and optimization opportunities.

10. Market Positioning

Unique differentiators: CodeWords distinguishes itself through its conversational interface that eliminates learning curves associated with visual automation builders, while the neurosymbolic architecture provides reasoning capabilities that exceed traditional rule-based systems. The code-first approach offers transparency and customization possibilities unavailable in black-box automation platforms, while maintaining accessibility for non-technical users through natural language interaction.

11. Leadership Profile

Bios highlighting expertise \& awards: CEO Aymeric Zhuo brings exceptional product scaling experience from TikTok, where his work on creator monetization and algorithmic optimization impacted hundreds of millions of users globally. His earlier role at Activision’s media unit demonstrated entrepreneurial success, contributing to growth from zero to \$350 million in revenue over four years, including the successful launch of Call of Duty Mobile. His educational background from École Polytechnique in Paris provides strong technical foundation combined with business acumen from scaling consumer technology products.

Patent filings \& publications: CTO Osman Ramadan maintains an impressive academic and research portfolio with multiple patents in privacy-preserving machine learning and dialogue systems developed during his tenure at Microsoft Research. His scholarly work includes highly-cited publications in artificial intelligence and natural language processing, with research contributions recognized through the University of Cambridge and featured in prestigious AI research venues including the ARC-AGI report 2024.

12. Community \& Endorsements

Industry partnerships: Strategic partnerships include integrations with over 2,000 services through Pipedream, providing comprehensive connectivity across business tools and platforms. Technology partnerships with leading AI providers including OpenAI, Anthropic, and Google ensure access to state-of-the-art language models and reasoning capabilities. The platform benefits from strong relationships within the London technology ecosystem and connections to leading research institutions.

Media mentions \& awards: Industry recognition includes coverage in Business Insider highlighting the company’s emergence from stealth and competitive positioning against well-funded incumbents like Poolside and Magic.ai. The platform has received attention on Hacker News and various AI tool directories, building awareness within developer and business automation communities. Academic recognition through research publications and conference presentations establishes credibility within the broader artificial intelligence research community.

13. Strategic Outlook

Future roadmap \& innovations: Development priorities include expanding the range of supported automation scenarios, enhancing the neurosymbolic reasoning capabilities for more complex workflow generation, and building additional enterprise features including advanced security certifications and compliance frameworks. Research investments continue in areas of automated software reasoning and deployment, with potential expansion beyond workflow automation into broader software generation capabilities.

Market trends \& recommendations: The workflow automation market continues expanding as organizations seek efficiency improvements and competitive advantages through intelligent process automation. CodeWords is well-positioned to capitalize on trends toward democratized automation creation, AI-native business tools, and the growing demand for solutions that bridge no-code accessibility with developer-grade functionality. Strategic recommendations include continued investment in platform capabilities, expansion of integration partnerships, and development of industry-specific automation templates to accelerate enterprise adoption.

Final Thoughts

CodeWords emerges as a transformative force in the workflow automation landscape, successfully addressing fundamental limitations of traditional automation platforms through its innovative conversational interface and neurosymbolic reasoning architecture. The platform’s ability to convert natural language descriptions into production-ready workflows represents a significant advancement in making sophisticated automation accessible to business users without compromising the power and flexibility that technical users require.

The strength of the founding team, combining Aymeric Zhuo’s proven track record in scaling consumer technology products with Osman Ramadan’s deep expertise in AI research and development, positions Agemo uniquely to execute on their ambitious vision. The strategic investor backing from experienced technology investors who previously supported breakthrough companies like Wayve demonstrates market confidence in both the team and the technological approach.

The platform’s early adoption metrics, including thousands of workflow executions across diverse use cases, validate the product-market fit hypothesis while highlighting the versatility of the conversational automation approach. The neurosymbolic architecture provides both immediate practical benefits through improved reliability and interpretability, and strategic advantages through its potential for continued advancement as AI reasoning capabilities evolve.

For organizations seeking to modernize their automation capabilities while maintaining accessibility for non-technical team members, CodeWords offers a compelling solution that eliminates traditional barriers to automation creation. The pay-per-use pricing model ensures cost efficiency while supporting scalability, making the platform attractive to organizations ranging from startups to enterprises.

The success of CodeWords will likely depend on continued innovation in AI reasoning capabilities, expansion of integration partnerships, and development of industry-specific solutions that address specialized automation requirements. However, the strong technical foundation, experienced team, and clear market opportunity position the platform well for sustained growth in the rapidly evolving automation technology sector.