Optimize NLP & GenAI
Deliver accurate, on-brand AI conversations at scale with training data optimization, safety
testing, and continuous evaluation.
Where Reliability Meets ROI
Accuracy you can Measure
Trusted Interactions
Validate intents, responses, and routing before go-live so conversations land correctly across voice and chat. Fewer surprises for the UAT team, fewer escalations, stronger CSAT. Assures intent path–outcome alignment.
Safer Outputs, Stronger Trust
Catch hallucinations, off-brand language, and policy violations early. Enforce controlled fallbacks and compliant responses.
Faster Iteration, Clear Feedback
Continuous evaluation and benchmarks give UAT teams predictable releases and faster cycles across versions and channels.
- Audit training data to find gaps and overlap
- Expand utterances and edge-case coverage (synthetic included)
- Track F1/precision/recall and surface training-data insights to improve intent separation and cohesion
- Benchmark models across versions and vendors
- Close the loop: feed results back into retraining
- Detect hallucinations, toxicity, PII leaks, and policy violations
- Verify tone, formatting, and brand alignment
- Enforce fallbacks or human handoff when uncertain/unsafe
- Stress-test guardrails with sensitive prompts
- Produce audit-ready logs for governance and compliance
Your brand rides on every interaction.
Broken CX isn't an option.
Over 20 Year of Great Relationships
