This is where strategy becomes software. We design and build the AI agents, platforms, and automation systems that power your operations. Production grade, monitored, compliant, and designed to evolve as you grow.
Intelligent agents that handle complex workflows: reading documents, extracting structured data, making decisions, and coordinating with other agents. From qualification agents that parse RFQs to orchestration systems with six interconnected agents.
Deployed, monitored AI agentsFull stack platforms with AI at the core. Interfaces, APIs, data pipelines, and model integrations as a unified system, not bolted on AI features. Includes dashboards, admin tools, and analytics.
Production ready platformEnd to end automation of business processes. We connect your existing tools (Outlook, OneDrive, CRMs, ERPs) with intelligent orchestration that handles exceptions, not just the happy path.
Automated workflows with monitoringBilingual voice agents (Quebec French and English) built on Twilio. Per client configuration via YAML, compliant transcript storage, PII anonymization, and natural conversational flow.
Live voice or chat agentThere is a fundamental difference between a software company that adds AI features and an engineering team that thinks in agents, orchestration, and intelligent systems from the ground up. We are the second kind.
Traditional software development follows predictable paths: define inputs, write logic, return outputs. Agentic AI is different. An agent reasons about its task, decides what information it needs, makes API calls, interprets results, handles ambiguity, and coordinates with other agents, all with human oversight at critical decision points.
We do not bolt AI onto existing software. We build systems where intelligence is the architecture.
This matters because the AI systems that deliver real business value are not chatbots answering FAQs. They are agents that read your incoming RFQs and extract specifications from technical drawings. They are multi-agent systems where six specialized agents coordinate to optimize revenue across different business dimensions. They are voice agents that handle bilingual calls and comply with privacy laws.
Building these systems requires a team that understands both the AI layer (model selection, prompt engineering, agent orchestration, evaluation) and the production layer (monitoring, error handling, security, compliance, and the critical work of keeping systems running reliably at scale).
A working prototype typically takes 2 to 4 weeks. Production deployment, with monitoring, error handling, testing, and compliance, adds another 4 to 8 weeks depending on complexity. Multi-agent systems and full platforms take longer, typically 3 to 6 months from kickoff to production.
Yes. We have integrated with Outlook, OneDrive, Stripe, Clerk, CRMs, ERPs, and various internal databases. We design systems that plug into your existing tools so your team does not need to change how they work to benefit from AI.
Every system we build includes human oversight at critical decision points, confidence thresholds that trigger manual review, and monitoring dashboards that flag anomalies. We design for graceful failure. The system knows when it is uncertain and asks for help rather than guessing.
Absolutely. We have done this with Winnia, where we designed and built the entire agentic AI layer while their team handled the backend and frontend. This partnership model gives you full ownership of your platform while leveraging our deep expertise in multi-agent systems.
AI systems need continuous attention. Models drift, data changes, and business requirements evolve. We offer ongoing support packages that include monitoring, performance tuning, model updates, and feature enhancements. We also train your team to handle routine maintenance independently.