Specialized AI solutions tailored to your industry's unique challenges
Build AI-native platforms with RAG systems and agentic workflows
SMEs struggle to adopt AI due to fragmented information, unclear ROI, and lack of contextual guidance. Building AI platforms requires expertise in RAG systems, agent orchestration, and scalable architecture.
AI-first platform design with agent-driven decision systems enables rapid playbook generation, contextual recommendations, and intelligent automation. RAG pipelines provide tailored guidance based on industry, persona, and constraints.
We re-architect platforms end-to-end with AI-first design. We build agent-driven systems, RAG pipelines for contextual intelligence, and deliver production-ready SaaS platforms with rapid iteration cycles. Our work has generated 10× faster outputs and 30%+ engagement increases.
Automate operations with agentic workflows and platform modernization
Fintech teams face manual reconciliation processes, operational inefficiencies, delayed reporting, and engineering bottlenecks. Deployment cycles are slow and error-prone.
Agentic workflows automate reconciliation logic with event-driven orchestration for exception handling. AI-powered systems reduce manual workload, accelerate deployments, and improve team productivity.
We act as AI consultants and delivery owners, designing agentic workflows and modernizing CI/CD pipelines. Our fintech engagements have achieved ~70% reduction in manual workload and deployment times reduced from hours to minutes.
Edge-to-cloud platforms for industrial device management
Managing industrial device fleets requires reliable offline support, real-time control, and secure cloud orchestration. Traditional systems lack scalability and modern security features.
Edge-to-cloud platforms enable real-time device communication, centralized management, and secure authentication. Offline capabilities ensure reliability while cloud workflows provide scalability.
We design and deliver end-to-end IoT platforms with edge computing, cloud orchestration, and role-based access. Our solutions have launched commercial devices, increased adoption by 15%, and saved $50K+ annually in operational costs.
Scalable infrastructure and cloud migrations for healthcare organizations
Healthcare organizations run mission-critical web applications that face scaling constraints, slow deployments, and limited operational control. Legacy hosting platforms like Elastic Beanstalk lack the flexibility and reliability needed for high-availability medical systems. Compliance requirements add complexity to infrastructure changes.
Modern container orchestration with Kubernetes (EKS) provides reliable, repeatable deployment models with automated scaling, self-healing, and zero-downtime updates. Infrastructure as Code ensures compliance-ready, auditable deployments. AI-assisted monitoring predicts and prevents issues before they impact patient-facing systems.
We partnered with a major US medical organization to migrate their production WordPress application from Elastic Beanstalk to Amazon EKS. Our team designed a robust Kubernetes architecture with automated deployments, horizontal scaling, and comprehensive monitoring. The migration was executed with zero downtime, resulting in faster deployments, improved reliability, and significant cost optimization—all while maintaining strict healthcare compliance standards.
Observability and governance for AI agent systems
As AI agent systems grow complex, teams lack visibility into reasoning quality, failures, and experience metrics. Debugging and governance become increasingly difficult.
Cognitive observability layers provide insights into agent decision quality, prompt effectiveness, and failure patterns. Standardized testing frameworks enable safety and governance compliance.
We build observability tooling for AI ecosystems and modular testing frameworks for safety evaluation. Our open-source contributions enable deeper agent insights, improved debugging, and industry-aligned governance practices.
Synthetic data platforms and hybrid cloud deployments
Training CV models requires large volumes of labeled data that is costly and slow to acquire. Generating consistent data across environments is challenging.
Synthetic data generation platforms enable faster model iteration without dependency on real-world data. Event-driven backends and hybrid deployments support both enterprise and cloud environments.
We design web-based synthetic data platforms with real-time backends, scalable APIs, and full observability. Our solutions support hybrid deployments and deliver production-ready platforms in under 6 months.
Workflow automation and AI consulting engagements
Enterprise teams face manual workflows, siloed knowledge, and inefficient processes. Deployment and operational tasks consume valuable engineering time.
AI-powered automation reduces manual workload, modernizes infrastructure, and improves team productivity. Intelligent workflows handle exceptions and approvals automatically.
We embed with client teams as AI consultants, designing agentic workflows and modernizing application architecture. Our enterprise engagements deliver measurable productivity gains and operational efficiency.