Replace a fragmented AI build (multiple vendors, mismatched architectures) with a single team that could ship the dashboards, the white-label apps, and the enterprise backend on one cohesive contract — and stand behind every layer.
Same designers, engineers, and ML leads from the dashboards through the white-label apps and backend. No hand-off taxes.
Tokens, components, and patterns shared across all three product surfaces. Theming layered for the white-label apps so customisation didn't fork the codebase.
Inference layer abstracted behind an OpenAI-compatible interface so the backend could swap providers and gate cost without code changes downstream.
Weekly demos, async written status, decisions documented in writing. The CEO never had to ask twice.
Multiple operator dashboards across the platform — analytics, ops, admin.
Customer-facing apps with shared component library + theming layer for partner branding.
API, auth, AI inference, observability, deploy pipelines.
Cross-product consistency without fork-and-paste components.
8 months into a massive AI project — multiple dashboards, two white-label apps, enterprise backend. Ishit and his team are professional, quick, and brilliant communicators who go the extra mile every time.