Category: AI & Workforce Automation

Your RAG bot isn’t hallucinating – your knowledge base is. Chunking, de-dup, metadata and HITL curation that make retrieval accurate in production.

AI training data done as a discipline: sourcing, cleaning, multimodal annotation, RLHF/SFT and human-in-the-loop QA. Fix the data, fix the model.

AI agent red-teaming as a service: prompt-injection, jailbreak, data-leakage and tool-abuse testing mapped to OWASP LLM Top 10 and NIST AI RMF.

Data labeling and human-in-the-loop annotation across text, image, audio, video and LiDAR – multi-stage QA, SME review and RLHF. Why cheap labeling costs more.

India vs Europe for AI development in 2026 — where European teams win on GDPR/EU AI Act proximity and time-zone, where India wins on cost and human-in-the-loop depth, honest rate ranges, and AB7’s dedicated AI specialist from $1,500/month.

How to choose an AI data annotation company in India in 2026 — a 9-point vetting checklist covering QA flow, security posture, pricing model, and the pilot batch that separates real vendors from resellers.

What AI training data actually costs in India in 2026 — per-label, per-hour, and per-pod rates for text, image, video, LiDAR, and RLHF — plus the four cost drivers buyers underestimate.

India vs US for AI development in 2026 — where US frontier-research talent and IP comfort win, where India wins on cost and the human-in-the-loop depth that gets models to production, honest rate ranges, and AB7’s dedicated AI engineer from $1,500/month.

Kendall Square AI startup ranked 14,000 RLHF pairs in 19 days with AB7’s Mohali HITL pod at $0.42/pair — 76% below Scale Spellbook, 89% inter-reviewer agreement.

Sydney Pyrmont AV startup labelled 12,400 egocentric driving demos at AB7 Whitefield in 11 days. ASIL-B traceability, $0.62/clip, ISO 26262 evidence trail intact.