Company Mission

We believe voice AI adoption is rapidly outrunning voice AI accountability.

Ringfence started from a simple observation: building an expressive, low-latency AI voice agent became 100x easier over the last two years — but tools for verifying what that agent actually promised to customers barely moved at all.

The Structural Reality

The conversational optimization gap

A voice agent platform's primary job is conversational fluidity: natural pacing, sub-second latency, and cadence that avoids the robotic feel of legacy IVR phone trees. Platforms like Vapi, Retell, and Synthflow do this brilliantly.

However, conversational fluidity and regulatory compliance are fundamentally divergent goals. When a statistical model encounters a reluctant customer or an unpredicted scenario, it is optimized to preserve conversational momentum. In doing so, it improvises unauthorized discounts, quotes hallucinated deductibles, or circumvents mandatory disclosures.

The solution is not to "prompt engineer" a more timid model. Every model drifts under real-world pressure. The solution is an independent, parallel governance layer that audits every syllable in real time.

Our Engineering Principles

Boring, deterministic, and fast

We reject nebulous "AI trust scores" that alert you to subjective risk without showing their work. In regulated compliance workflows, subjective scores are legally unusable.

Every flag Ringfence surfaces includes the verbatim spoken quote, the exact audio timestamp, the active rule clause violated, and the CRM ground-truth counter-evidence. If a system cannot produce an evidentiary paper trail that survives regulatory scrutiny, it does not belong in an enterprise compliance stack.

We also mandate vendor independence. Whether you deploy on Vapi, Retell, Synthflow, or a traditional human dialer, Ringfence sits above your stack as an impartial, permanent compliance record.

Origins

Engineered for regulated call floors first.

Ringfence was initially built to solve a severe operational pain point in regulated consumer outbound calls — auto warranty renewals, property insurance, and home warranty services — where an unapproved promise carries immediate regulatory exposure and substantial class-action risk. High daily call volumes made manual quality assurance impossible. That crucible established our foundational DNA: deterministic speed, quotable evidence, and audit trails engineered for regulatory cross-examination.

6+
Regulated industries running Ringfence in production daily
3.2s
Average end-to-end detection latency from spoken phrase to flagged queue
0%
Customer audio used for foundational LLM training
Clear Guardrails

What we explicitly do not do.

Enterprise trust requires explicit product boundaries.

We do not place, answer, or route phone calls

Ringfence contains no dialer, no telephony carrier routing, and no proprietary voice generation model. If your calls fail to initiate, that is a matter for your dialer or voice platform provider. Ringfence strictly inspects audio feeds in read-only parallel streams.

We never train public models on your call data

Your audio streams, customer transcripts, and proprietary offer sheets are processed exclusively inside your isolated enterprise workspace. We do not train, fine-tune, or benchmark public foundation models on your call data. Full details are outlined in our Privacy Policy.

Ringfence is developed and operated by AHANAI Pvt. Ltd.

Want to see Ringfence evaluated against your calls?

Start a 14-day free trial or talk with our team regarding your call floor's specific compliance constraints.