Jaser.ai

Workforce readiness · Voice AI

Scale interview practice across every cohort

Quebec wedge. North American platform.

Candidates practise more. Counsellors intervene where it matters.

3 paid pilots signed • C$9K contracted • 2 additional LOIs

Production voice MVP launches with paid pilots October 19, 2026.

Current traction

3 signed paid pilots · C$9,000 total contract value

Three six-week paid pilots launch October 19, 2026; two additional signed LOIs are moving toward the same pilot structure. First-wave target: approximately 50–70 candidates.

Signed contracts; pilots have not launched and no revenue has been recognized yet.

The problem

Counsellors cannot give every candidate enough interview practice

Mock interviews and workshops are valuable, but counsellor time is limited and progress between sessions is hard to see.

Limited counsellor capacity

One-on-one mock interviews do not scale across large cohorts.

Too little repetition

Candidates need repeated, realistic practice between human coaching sessions.

Progress is hard to see

Counsellors often cannot tell who is practising, improving or getting stuck.

Generic tools stop at the individual

Most interview tools do not manage cohorts, consent, interventions or program outcomes.

Initial paid-pilot wave

~50–70

candidates targeted across the first cohort as signed pilots and pending LOIs launch.

Jaser pilot plan (2026)

Paid validation

C$9K

contracted across three six-week paid pilots before the production MVP launches.

Jaser signed pilot agreements (2026)

Why now

Quebec is the wedge. The workflow scales across North America.

We start with employment and newcomer-serving organizations in Quebec, where bilingual delivery and local context matter. The same counsellor-capacity problem exists across workforce and career programs.

Quebec — the beachhead

≈ 500

employment-service, newcomer-serving and college organizations in our bottom-up Quebec market map.

Jaser market mapping (2026)

3

paid pilot organizations signed before the production MVP.

Jaser signed agreements (2026)

North America — the expansion path

570+

U.S. workforce boards.

National Association of Workforce Boards

3,542

U.S. postsecondary institutions.

National Center for Education Statistics

4,100+

identifiable U.S. workforce and postsecondary institutions before comparable Canadian organizations are added.

NAWB · NCES

Quebec is our beachhead; Jaser is designed for workforce programs across Canada and the United States.

The solution

Practice → Measure → Intervene

Jaser gives candidates more realistic repetition and gives counsellors the signals to focus human support where it matters.

  1. 01

    Practise

    Repeatable, role-specific voice interviews candidates can complete on demand.

  2. 02

    Improve

    Immediate feedback on content, clarity, structure and delivery.

  3. 03

    Measure

    Track participation and progress over time — coaching signals, not hiring certification.

  4. 04

    Intervene

    With consent, counsellors see who is active, improving or needs human support.

Product experience

Prototype

Two sides, one loop

Repeated candidate practice on one side; consent-based cohort visibility and intervention signals on the other.

Interfaces from the current interactive prototype — illustrative data.

Candidate journey

Jaser.aiPrototype

Target role

Customer service

Banque Méridienne

Simulation in progress

Tell us about a challenge you overcame at work.

Question 3 of 8

Recording…
Jaser.aiPrototype

Your feedback

78

Jaser Index

Customer service

Clarity82
Structure75
Relevance80
Concision71

Coaching

Good structure. Add a quantified example to back up your result.

Counsellor / organization view

Counsellor dashboard
Prototype

24

Active candidates

76%

Avg. progress

58

Simulations this week

Cohort · Fall 2026

CandidateRoleProgressStatus
Amélie R.Customer serviceBanque Méridienne
82%
Strong
Karim B.LogisticsOptineau
74%
Improving
Sophie L.Administrative assistantBoréal Assurances
66%
Needs support
Marc-André T.DeveloperGroupe Novaterre
90%
Strong
Fatou D.Care attendantClinique Rivard
71%
Improving

Progress data shared only with candidate consent

Illustrative data

The difference

Built around the institutional loop

Voice is the experience — not the moat. Jaser connects repeated practice, counsellor action and employment outcomes in one workflow.

CapabilityJaser.aiPublic programsGeneric interview tools
Role-specific voice practice
Cohort & counsellor workflow
Consent & organization controls
Longitudinal progress
Practice-to-outcome connection

Each mark shows how strongly a capability is covered:

Strong — differentiatedAvailableLimitedNot offered

Who it's for

Built for organizations supporting cohorts — not just individual candidates

Jaser is most valuable where counsellor capacity is limited and repeated practice can multiply human support.

Employment programs

Employment-service organizations and youth employment centres.

Newcomer services

Organizations helping newcomers prepare for local labour markets.

Colleges and career services

Institutions supporting large cohorts through career-readiness programs.

Workforce partners

Canadian and U.S. programs that need scalable practice, progress visibility and reporting.

Trust and responsibility

A complement to human support, not a replacement

Built privacy-first, with consent at the centre.

Consent first

Progress portraits are shared only with the candidate's explicit consent.

An indicator, not a certification

Jaser provides coaching and progress signals; it does not certify employability or replace a hiring decision.

Privacy by design

Minimization, governed retention and data deletion. Rooted in Quebec's Law 25, adaptable to North American frameworks.

No automated decisions

The counsellor's human judgment stays at the heart of support.

Team

Two technical founders building with customers

A lean founding team that owns product, engineering, customer discovery and commercial execution.

Daniel and Léon have known each other for years. They studied together, worked in telecom, and shipped projects together before starting Jaser.ai — a working relationship built well before the company.

Daniel Sekloka

Daniel Sekloka

Co-founder & CEO

Product, operations, customer discovery and commercial execution.

Software engineer • Founder-led sales and partner development.

Léon Ohoué

Léon Ohoué

Co-founder & CTO

Architecture, backend, voice/AI pipeline, infrastructure and security.

5+ years building production software • Backend, cloud and automation.

Contact

Let's talk

Investor or partner organization: tell us what you're interested in and we'll get back to you.

Investors: the full deck and financial data are shared privately, on request.