OpalForce builds India and South America expert evaluation teams for LLMs, AI agents, healthcare AI, legal AI, financial AI, and coding AI. We turn model risk into measurable reliability.
Bengaluru, India
Medellín, Colombia
São Paulo, Brazil
Follow-the-sun expert teams, rubric-based scoring, governance-ready audit trails.
A closed-loop methodology for transitioning AI from experimental prototypes to enterprise-grade infrastructure through rigorous human oversight.
Multi-stage auditing of model outputs against proprietary safety guidelines.
Expert determination of factual accuracy in domain-specific edge cases.
Quantitative reliability indexing across safety, logic, and tone metrics.
Direct feedback loop to RLHF pipelines and dataset curation teams.
Domain experts review factuality, reasoning, safety, and usefulness of model outputs.
Structured human feedback for enterprise and domain-specific AI systems.
Test models and agents for unsafe, biased, non-compliant, or unreliable behavior.
Build benchmark sets, rubrics, answer keys, and adjudication workflows.
Auditable review trails, escalation, sampling, and AI risk reporting.
Ongoing review teams with dashboards, SLAs, and quality scoring.
Start with coding and engineering AI for fast time-to-value, then expand into regulated expert workflows in healthcare, legal, and financial AI.
Clinical reasoning, chart review, AI scribe QA, coding validation.
Citation verification, legal reasoning, contract review, compliance escalation.
Accounting, underwriting, fraud, investment, and regulatory response validation.
Code correctness, agent testing, architecture review, debugging, cybersecurity reasoning.
Buyer arrives via long-tail SEO or AI search and lands on a service, industry, or location page.
Direct answer blocks, FAQ schema, and an AI Reliability Scorecard convert intent into a pilot request.
OpalForce runs rubric design, expert sourcing, batch evaluation, adjudication, and executive reporting.
Board-ready reliability scorecard with failure modes, risk exposure, and operating recommendations.
Pilot converts into managed AI reliability operations with SLAs and ongoing QA.
“Quality is not an accident; it is the result of intelligent human intervention.”
Initiate Pilot Programgrowth@opalforce.ai
Deep capability pages by service, industry, and delivery region.