We build AI-backed software, automation, and operational readiness for teams that ship and scale. We also support renewable energy and data center projects with technical definition, AI readiness for operations, and bankability-focused preparation.
Built to ship. Built to run.
Engineers for delivery, operations, and readiness.
Consensus Labs is a Swiss-based engineering company focused on AI-backed software development, automation, and readiness. We support production systems end to end, including maintenance, SLAs, and distribution into cloud, hybrid, and on-prem environments.
We also help renewable energy and data center initiatives move faster by clarifying scope, risks, and documentation needed for execution and financing review.
We started as Doganbros in 2018 and delivered real-time media and communication systems for clients across multiple countries. Over time we expanded our scope from secure conferencing and streaming into mind and skill games, then into blockchain-based systems. In 2025 we moved the company to Switzerland and established Consensus Labs to scale delivery from a compliant global base and expand into AI readiness and infrastructure readiness.
Doganbros founded. Real-time media technology and custom conferencing.
Expanded into WebRTC, secure conferencing infrastructure, streaming, and distributed backends.
Expanded into mind and skill games. Real-time multiplayer systems, ranking, web and mobile platforms.
Expanded into blockchain. Smart contracts, Ethereum, and custom blockchain development.
Relocated to Switzerland. Consensus Labs established. Focus now includes AI-backed software, automation, AI readiness, and infrastructure readiness for renewable energy and data center projects, with bankability-focused documentation.
Founder, IT and Systems Lead
IT leader and entrepreneur with 25+ years of experience across distributed systems, data center scale IT, real-time communication platforms, and cloud infrastructure. Focused on delivery leadership, reliability, and secure operations for mission critical environments.
Co-Founder, Systems Engineering and AI Integration
Systems engineer with deep experience in platform engineering, AI integration, and game design. Strong at connecting product requirements to scalable systems and turning complex stacks into reliable, maintainable solutions.
We build production-grade systems with AI-assisted delivery and strong engineering discipline. The focus is speed with control: quality, observability, and long-term maintainability.
Build scalable applications, data platforms, and integrations with clean architecture and rigorous testing. Ship systems that are designed to evolve without breaking.
Automate workflows with integrations, event-driven systems, and guarded agentic tooling. Reduce manual work while keeping outcomes observable and auditable.
Make AI usable in production: data readiness, evaluation, governance, and monitoring. Build pipelines and operating practices that support safe rollout and continuous improvement.
Operate with confidence: SLAs, maintenance, upgrades, incident response, and runbooks. Support cloud, hybrid, and on-prem distribution, including partner enablement.
Power and compute projects move at the speed of readiness. We help teams de-risk execution and financing review with clear technical definition, operational AI readiness, and bankability documentation.
Owner-side technical support to define scope, requirements, interfaces, and responsibilities early. Align stakeholders before detailed engineering begins.
Capacity planning, resilience targets, design basis inputs, and scalable reference architectures. Support early decisions that shape cost, schedule, and operability.
Prepare operations for automation: monitoring strategy, data pipelines, forecasting, and incident workflows. Build the foundation for performance analytics and predictive maintenance.
Strengthen due diligence readiness with a technical narrative, risk register, and a structured data room index. Reduce friction with partners, reviewers, and financiers.
Consensus Labs does not provide regulated financial services. We support bankability by improving technical readiness, documentation quality, and due diligence preparation.
AI-assisted workflows reduce cycle time across implementation, testing, and documentation.
Design processes that reduce manual work and keep operations measurable and resilient.
Privacy, security, and governance built into architecture and delivery.
Design basis, risks, and assumptions written for stakeholder review.
Systems that run reliably across environments, with SLAs and runbooks.
Selected clients and collaborators trust us to deliver reliable engineering and AI readiness.
Notes on AI readiness, automation, and infrastructure delivery.
Tell us what you are building. We will reply with a clear next step, whether that is a software readiness sprint, an automation roadmap, or an infrastructure readiness and documentation track.
