We help leadership teams cut through hype, assess feasibility, and validate AI use cases with small, evidence-based pilots. No big commitments. No long builds.
We advise founders, CTOs, and functional leaders on where AI can truly move the needle. Our advisory focuses on strategy, feasibility, ROI modeling, vendor assessment, and roadmap design grounded in realistic engineering constraints.
Our experience comes from building Agentaur a suite of AI products that includes Scout for sales, Care for customer service, and Guard for automated agent safety testing. The same team that created these production-grade assistants now brings that expertise to your project, ensuring you get dependable AI that works in the real world.
We build a minimal prototype that answers the key technical and business questions. Tangible code beats theoretical roadmaps every time.
From retail analytics to machine monitoring, we deploy camera-based models that solve operational problems where sensors alone fall short.
We build behavior models to identify high-impact interventions, then prototype experiments to prove lift before recommending full rollouts.
Acting as your fractional Head of AI. We audit infrastructure, vet vendors, and create realistic roadmaps for executive leadership.
We evaluate if multi-agent systems make sense for your workflows and prototype a lightweight demo to validate efficiency gains.
We help you select the right models, data strategy, and architecture, then build a quick MVP to test accuracy and usefulness.
We assess whether camera-based systems can deliver ROI in your environment. If viable, we prototype a small proof-of-concept, to help you visualize what is possible.
We evaluate whether your current data is fit for AI and outline minimum work required for a pilot. No heavy pipelines unless ROI is clear.
We define the safety, compliance, and evaluation criteria required for a responsible pilot before anything reaches users.
Our engagements remove guesswork. We audit your data, select high-ROI use cases, and manage the engineering so you avoid expensive vendor lock-in on unproven tech.
We identify where AI can actually move the needle, filtering out hype to focus on high-impact, feasible use cases.
We prototype the smallest possible version of the idea. This is an MVP or pilot, not a full production system. We use this to validate accuracy, cost, speed, and business impact.
Only if the pilot proves value, we outline a realistic scale path. Many clients use this as internal support for investment decisions.
Hitesh personally leads the advisory for each engagement, ensuring your leadership team receives clear, evidence-based recommendations. His work sits at the intersection of AI research, practical engineering, and business outcomes across Retail, Loyalty, and Industrial domains
We'll evaluate your use case, data readiness, and risks, and recommend the simplest pilot or MVP that can prove value.