01 / 20The belief

YARA · AUTONOMOUS VOICE INFRASTRUCTURE

Every conversation.
Intelligent. Instant.
Always available.

Every conversation a company has should be intelligent, instant, and always available - without losing the human touch where it matters.

Explore the story 20 chapters · at your pace

Built for conversations that matter.Scroll to discover ↓

02 / 20Why we exist

Nobody should have to choose
between scale and quality.

Today they do. Either you hire endlessly and still miss calls, or you automate with rigid systems that frustrate everyone who touches them.

We exist to end that trade-off - to make every conversation autonomous and excellent.

03 / 20Why now

The world changed -
conversations didn't keep up.

- Customer expectations moved to instant, 24/7, no queues.

- Call volumes are exploding. Teams and budgets are not.

- Voice AI crossed the threshold - good enough to trust in production.

The gap between what customers expect and what organisations can deliver has never been wider. That gap is the opportunity.

04 / 20The cost of the old way

Hiring more people scales
the cost, not the solution.

Repetitive calls

A large share of every team's time goes to calls that never needed a human.

Unanswered calls

Nights, weekends and peaks go unanswered - lost revenue and lost trust.

Lost context

Every handoff loses context. The customer repeats themselves and quality drifts.

Headcount

Adding people multiplies the cost of the problem without removing it.

05 / 20The gap

What a demo shows you.
What production asks for.

ABOVE THE LINE - WHAT YOU SEE

A prompt
A demo call
A voice on a workflow tool
A handful of scripted paths

BELOW THE LINE - WHAT IT TAKES

Real-time voice orchestration
Barge-in and interruption handling
Telephony edge cases and transfers
Identity verification and one-time codes
Multi-agent routing on shared context
Guardrails enforced server-side
Fallbacks, retries and timeouts
Audit trail and data residency
Evaluation at scale before go-live

The demo is the easy tenth.

An illuminated iceberg: a small visible peak above a much larger submerged structure

06 / 20The trap

One vendor, one price list,
and no way out.

A price you don't set

Per-minute and per-token pricing is decided by someone else. Welded to a single provider, you have nowhere to move when it changes.

Today's best model isn't next quarter's

Latency, comprehension and naturalness shift every few months. A stack tied to one vendor runs last quarter's quality until someone rewrites it.

Demos are built on the easy cases

Restaurant bookings and property viewings are not regulated. Identity, money and medical records are. Proven on the easy path is unproven on yours.

So we orchestrate instead of reselling - and we pick per use case, not per vendor.

07 / 20The pivot

Two ways to run
your conversations.

THE OLD WAYWITH YARA

Humans handle every call

AI handles the routine, humans handle what matters

Limited to business hours

24/7, instant, no queue

Cost grows with volume

Scales without scaling headcount

Context lost at every handoff

Context retained across the whole call

Rigid phone menus

Natural conversation, in your customer's language

08 / 20How we are different

A platform,
deployed like a partner.

Voice Orchestration Platform

We orchestrate the best voice models on the market instead of betting on one. You always run the state of the art, and you are never locked into a single technology.

Forward Deployment Company

We don't hand you a tool and leave. Our engineers embed inside your organisation to integrate, calibrate and run the system until it works - as an extension of your team.

The power of a platform. The certainty of a partner.

09 / 20The orchestration layer

We don't bet on one model.
We benchmark them all.

Continuous benchmarking

We test the best voice models on the market against precise quality indexes: latency, naturalness, comprehension, reliability.

The right model per job

We orchestrate the right model for each use case and swap as the field moves. You run the state of the art without ever migrating.

Matched to your needs

We align each model's strengths with your specific job - never a single default applied to everyone.

The field moves every quarter. You shouldn't have to.

10 / 20What we measure

What we measure,
before you hear it.

Every model we consider is scored on the same six axes - and scored on your own recordings, not on a public leaderboard.

Latency

The time between a caller speaking and the agent responding.

- Scored on your calls, not a leaderboard.

- Re-run each quarter, as the field moves.

- A winner per use case, not per vendor.

Six interconnected evaluation axes around a central YARA orb

11 / 20Intelligence

It doesn't just talk.
It understands.

Knowledge graph and embeddings

The agent knows your business, your products and your rules - not just keywords. It answers correctly because it actually knows.

Context accumulator

It captures and uses the full context of the conversation in real time. Your customer never repeats themselves - like your best human agent, at scale.

12 / 20One conversation, a team of agents

One conversation.
A team of agents behind it.

Specialised agents collaborate through a shared context, so even a complex call is handled end to end.

THE SPECIALISTS BEHIND IT

Identification and one-time codes
Policy and customer data
Ticketing and routing
Escalation to a human
Compliance and guardrails
One shared context across all of them

13 / 20Trust and control

Autonomous -
but never unaccountable.

Human in the loop

For any critical operation, a notification lands on a human's desk to approve or reject before anything happens.

Security and authentication

Identity verification and one-time codes handled live during the call. Auditable, and enforced server-side - never in the prompt.

You stay in control of what matters. The AI handles the rest.

14 / 20Prove it first

We don't hope it works.
We prove it first.

300+

scenarios before go-live

Edge cases, difficult callers, adversarial inputs. Every agent is stress-tested before it takes a real call.

AI testing AI

We simulate thousands of calls with AI-driven callers against your agent, at a scale no human QA team could reach.

Joint calibration

A phase run with your team, tuning the agent to your reality. It is the difference between a demo and production.

No blind spots. No surprises. No breach in the agent's behaviour.

15 / 20In production

This isn't a vision.
It's in production.

LIVE

First autonomous AI call center running at a regulated insurer in the GCC.

CLEARED

Passed a health authority's review. Scoped so sensitive data stays out of the AI path, with human handoff on anything critical.

REAL

Carrier-grade telephony, in-country data residency, genuine concurrent call volume.

If it holds under a regulator, it holds for you.

16 / 20What we build on

We build on the best.
We're owned by none of it.

Our value isn't a single vendor. It's the layer that picks and combines the best for you.

17 / 20How we deploy

From your systems to autonomous,
in weeks.

Connect

API into your existing stack - CRM, telephony, business systems. No rip-and-replace: we sit in front of what you have.

Embed

Our team integrates, trains the agents on your knowledge, and calibrates to your processes.

Comply

Data hosted to your requirements. AI Act and compliance handled by design.

Keep control

You keep your numbers, your systems and your escalation paths.

18 / 20The first step

Start small.
Prove it. Then scale.

Scoped

One department or one use case. Defined scope, real conditions.

One metric

Agreed up front: the share of conversations handled autonomously, with zero critical escalation missed.

Reversible

It sits in front of your setup, not inside it. Switch it off at any time.

Low risk by construction. You can undo it in an afternoon.

19 / 20The people behind YARA

The people
behind Yara.

Moussa Touré

Founder & CEO
Ex Microsoft / +10y of experience

Soma Bini

CTO. Previously engineering manager for Autonomous Cars

Madriss Seksaoui

Chief AI Lead +10y of XP.
Deployed Gemini for 300 000 users

Mouctar Diallo

Senior Full Stack

Richard Bathiebo