Test, Monitor and Self Improve voice agents
Launch in minutes, not weeks. Test your agent before going live, monitor real production calls, and continuously improve with Cekura's intelligent insight.
Trusted by
our customers
The reliability layer for voice agents.
Self-improving agents
Cekura flags issues → reproduces in simulation → suggests fixes automatically.
Benchmarking
Run the same scenarios across platforms and models. Pick the one that actually performs.
Adversarial red-teaming
Probe for jailbreaks, leaks, and off-script behavior.
Pre-production simulation
Run thousands of synthetic conversations before go-live.
- Hallucination < 1%
- Coverage 92%
- Citations match
- HIPAA disclosure
- Identity verify
- Recording notice
Production monitoring
Live drift detection across every call.
CALLS
0
CSAT
0
DROP
0%
- 14:02200call · 42s
- 14:02200chat resolved
- 14:01DRIFTsentiment ↓
Integrates with the
tools you already use.
Cekura integrates with your existing tools and platforms, letting teams scale AI without disrupting workflows.
Trusted where reliability is
non-negotiable.
Confido Health
“ We set up key metrics on Cekura and could easily compare between our old and new stack. Zero regression on key workflows, every node and integration preserved post-migration. ”
– Vichar Shroff, Co-founder & CPO
Build self-improving
loops.
Three loops your team already runs: fully automated, version-controlled, and observable end-to-end.
- Appointment booking12 turns · 4.6sPASS
- Cancellation mid-sentence12 turns · 4.6sPASS
- Insurance query off-script12 turns · 4.6sRUN
- Emergency escalation12 turns · 4.6sPASS
- Refund flow · adversarial12 turns · 4.6sFAIL
- Spanish accent · billing12 turns · 4.6sPASS
- Multi-turn handoff12 turns · 4.6sPASS
Run thousands of synthetic conversations against every release. Gate every deploy on the suite.
- Appointment booking12 turns · 4.6sPASS
- Cancellation mid-sentence12 turns · 4.6sPASS
- Insurance query off-script12 turns · 4.6sRUN
- Emergency escalation12 turns · 4.6sPASS
- Refund flow · adversarial12 turns · 4.6sFAIL
- Spanish accent · billing12 turns · 4.6sPASS
- Multi-turn handoff12 turns · 4.6sPASS
Know exactly how your
agent stacks up.
Benchmark your own infrastructure setup over time, or run a head-to-head vendor bake-off across providers: same scenarios, same scoring, no guesswork.
96.6%
pass^3
Retell
Highest Reliability
1.73s
median turn latency
ElevenLabs
Fastest Responses
4.9/5
interruption score
Pipecat
Best Interruption Handling
1.66-2.95s
P5-P95 turn latency
Vapi
Most Consistent Latency
Fresh news, updates, stories, and inspiration.
View all blogsBeyond 100%: How Cekura Makes Metric Optimization Trustworthy
Cekura's Metric Optimizer now asks for human judgment on unclear rules, verifies 100% scores against evaluator noise, and shows every unresolved case.
Shipping a Self-Improving Voice Agent to Customers: The Product and the Playbook
Closing the eval loop was the algorithm. Here's the product and the POC playbook that made customers willing to run it on their own production voice agents.
Call Analytics for Voice Agents: Turn Thousands of Failing Calls Into a Handful of Fixes
Call analytics for voice agents should tell you why calls fail, not just how many. See how Cekura Insights clusters failing calls into a few root-cause fixes.
Built for enterprises.
The security and compliance infrastructure voice AI demands: HIPAA, SOC 2, and GDPR, not as checkboxes but as defaults.
GDPR
HIPAA
SOC 2