Maihem

Maihem is a model-agnostic quality-assurance platform that automatically tests, monitors and safeguards generative-AI phone and chat agents before and after they go live. Instead of manual conversation scripts, Maihem spins up thousands of AI “test users” that behave like real customers: they call or message the client’s bot, probe edge-cases, inject adversarial prompts, measure factual correctness, latency, sentiment, compliance and business KPIs, then return an actionable score-card within minutes. The core engine is a proprietary large-language-model ensemble trained to simulate human intent distributions, regional accents, emotional states and regulatory jargon, so every test cycle covers scenarios that would take human teams weeks to replicate.

Key features highlighted on the homepage
1. Auto-generating test cases: the platform ingests FAQ docs, call logs, product specs and regulatory checklists and autonomously writes thousands of conversational test journeys—no coding or prompt engineering required from the customer.
2. Parallel voice + chat simulation: synthetic callers can dial SIP or telephony endpoints while chat agents are stressed over web, WhatsApp or in-app SDKs; both streams are evaluated with the same metrics dashboard.
3. Red-team & bias detection: built-in probes for hallucination, PII leakage, toxic language, unfair bias, brand-voice drift and jail-break attempts; each finding is traced to the exact turn and flagged with a severity label.
4. Continuous regression guardrails: after deployment, Maihem schedules nightly “health checks”; if accuracy, CSAT or compliance score drops below a customer-defined threshold, the system opens a Jira ticket or Slack alert and can automatically roll back to the previous safe model.
5. Benchmark & competitor lens: users can compare their bot’s performance against industry baselines (banking, telecom, e-commerce, insurance) generated from Maihem’s public dataset of 1.2 M anonymized calls.
6. One-click evidence pack: for regulated sectors, the tool exports a PDF that contains full conversation logs, risk ratings, GDPR & HIPAA checks and suggested mitigations—ready to hand to auditors or legal teams.
7. Enterprise-grade security: single-tenant Azure/AWS deployment, SOC-2 Type II, ISO 27001, field-level encryption and on-prem options; no customer data is retained for model training without explicit opt-in.

The company positions itself as “the Datadog for conversational AI”: developers integrate Maihem in CI/CD, product owners track ROI, and compliance officers receive auditor-ready artifacts, all from the same pane of glass.