AI products die in the valley between POC and scale. Model governance, production economics, data flywheel quality. Consult Saksham brings 12 years advising AI-native products, model platforms, and applied ML companies. The practice helps teams bridge the gap, turning proof-of-concept into production moat.
The practice focuses on three AI bottlenecks: proof-of-concept graveyard (where 80% of pilots never reach production), production economics (where inference cost at scale eats unit margins), and model governance (where drift and retraining become engineering chaos).
Data labeling infrastructure, model versioning, rollback strategy, A/B test frameworks. Consult Saksham has built systems where the pipeline from experiment to production is repeatable, not heroic.
Vendor lock-in, batch vs. real-time, model size vs. latency tradeoffs. The practice helps teams design inference stacks where unit economics improve as scale increases, not degrade.
The practice ships alongside ML operators. Consult Saksham operates with direct experience in data infrastructure, feature engineering, and model governance.
Three to four weeks. Principal-led platform, data, and delivery review with a written plan.
Monthly retainer at the right cadence for the stage. Weekly call, hire panels, board prep.
Build, buy, partner across the AI / ML-relevant use cases. Governance and economics included.
Ten to fifteen business days. Investor memo, 100-day plan, direct readout.
The demo impressed investors. Production was another story. Latency spiked unpredictably, cost per inference was unsustainable, and the model hallucinated on edge cases that mattered to enterprise buyers.
Saksham built a validation framework that stress-tested the model against real production scenarios before each release. Redesigned the inference pipeline for cost efficiency. The product went from impressive demo to reliable production system handling 10M daily calls with consistent quality.
The first conversation is thirty minutes. By the end of it, the shape of the engagement is clear.