We turn cutting-edge research into real-world, scalable AI systems.
We bridge cutting-edge research and real world delivery with tailored builds engineered to be governed, explainable, and ready to scale
Trusted by leading companies
What We Build
How We Connect It
Where We Apply It
We design and deploy multi-agent architectures that decompose complex tasks, invoke tools and APIs, and operate with built-in human oversight at every decision point.
Best for
Deliverables
What We Build
We design and deploy multi-agent architectures that decompose complex tasks, invoke tools and APIs, and operate with built-in human oversight at every decision point.
Best for
Deliverables
How We Connect It
Where We Apply It
Selected projects across computer vision, speech, and autonomous systems.
Intelligent noise removal for scanned documents, framed as a detection problem, not a filter. Generalizes across noise types without manual tuning.
Custom pipelines that synthesize natural-sounding speech from brief audio samples. Captures timbre, accent, and intonation with built-in ethical safeguards.
Automated mouth-movement synchronization for any audio-video pair. Produces realistic facial animation matching speech rhythm and articulation.
Conversational AI agents that interact through real-time speech. Handle interruptions, adapt mid-conversation, and enable fluid turn-taking.
Proof that strategy and execution can move fast without cutting corners.
Aaron Bridges
CTO and Co-Founder, OpenSesame
We ship code and systems that scale to the world.
Everything you need to know about our process and technology.
Security is our foundation. We deploy enterprise-grade encryption, role-based access controls, and private cloud environments (VPC) to ensure your data never leaves your control. We are SOC2 and GDPR compliant by design.
Absolutely. Our architecture focuses on interoperability. We build custom API layers and middleware that allow modern AI models to communicate seamlessly with legacy ERPs, CRMs, and database systems without disrupting operations.
Timelines vary by complexity, but we prioritize speed to value. A typical pilot launches in 4-6 weeks, with full production deployment following in 3-4 months. We use an agile methodology to deliver iterative improvements.
Yes. AI models require maintenance to prevent drift and ensure accuracy. We offer managed service packages that include continuous monitoring, retraining pipelines, and performance optimization to keep your systems at peak efficiency.
We implement rigorous testing frameworks before deployment. Our 'Risk & Governance' module includes bias detection audits, explainability layers (XAI), and human-in-the-loop protocols to ensure ethical and predictable outcomes.
We help founders build AI-native products. Schedule a call to discuss your roadmap.
Contact us at hello@realaization.com