Déblo — Investor & Partner Deck

Author: ZeroSuite Inc. — deblo.ai · zerosuite.dev Version: 3.1 — May 2026 Format: 17-section deck, public Stack note: Day-one Google Cloud Vertex AI deployment.

0. The 60-Second Pitch

We don't sell AI. We sell access to expertise — to 1 billion people who never had any.

Déblo is real-time voice & eyes AI — built in Abidjan, deployed on Google Cloud Vertex AI, distributed on mobile money from 100 FCFA. One foundation serves four markets: daily assistance, K-12 education, customer support, and language inclusion. Designed for the user who never had a Visa card, a keyboard, or an expert one phone call away.

Why now: voice AI reached production-grade latency in late 2025, mobile money saturated francophone West Africa, AI inference cost fell ~90% in 24 months. The window to build the voice & eyes AI of Africa — and a platform that scales globally — is now.

Why Google: Africa is Google Cloud's strategic AI growth priority. Déblo gives Vertex AI a flagship consumer deployment reaching 850M voice-first users with no card barrier — and an open-weight Gemma reference deployment in the memory layer of a production multimodal product.

Why Anthropic: Claude Code (Anthropic) is the engineering accelerator that makes deblo.ai possible — no Claude Code, no product. Claude Opus also sits on the voice-runtime failover path, ensuring continuity when Vertex regional capacity is constrained. Two Anthropic layers in the stack: engineering tooling and model bundle.

1. Déblo

Real-time voice & eyes AI. Built in Abidjan, on Google Cloud Vertex AI.

Created in Abidjan. Built for the world.

4 markets. One foundation.

ZeroSuite Inc. · Abidjan · May 2026

2. The Problem

Most AI products are still built for people who type. We rebuilt one for the 1 billion who don't.

In real life, hundreds of millions of people prefer to speak — and increasingly, to show what they see — parents, students, traders, freelancers, support teams, communities using local languages, anyone navigating a busy day where typing is awkward and a voice answer with a glance from the camera is faster. Globally, the urban-literate top decile already uses ChatGPT, Claude, Gemini. The other 90 % does not — not because the AI is weak, but because nobody runs vernacular ad campaigns in Abidjan, nobody trains village ambassadors, nobody hands tablets to rural classrooms. That is the market Déblo is built for.

Mainstream AI assistants are text-first, English-dominant, and require an international bank card. Voice modes, when available, sit behind paid tiers priced for high-income markets. Real-time camera vision — the AI sees what you see live — is essentially absent outside frontier consumer demos. Code-switching between a global language and a local register is handled mechanically rather than conversationally. Mobile money is invisible.

• 850M voice-first addressable users across Africa and diaspora — the strongest initial market
• Billions more voice-first users globally who share the same preference
• 95% of African adults excluded from card-only global AI products
• Mobile money is the standard payment rail across the launch beachhead

The product that answers in real-time voice, sees in real-time through the camera, on entry-level mobile, on mobile-money rails, in a culturally fluent register — that product was missing. Déblo is what we built.

3. TAM Map

Voice-first preference is global. Africa is the strongest initial market.

The launch beachhead is 6 African countries on June 1, 2026. The platform itself is built for global use from day one. Reachable-market segmentation by country and market segment will be published 90 days post-launch (September 2026), grounded in real traction.

This is not a regional play. Africa is the launch beachhead — the cultural advantage and the strongest initial adoption market for the platform. The platform itself is built for global use from day one.

4. Why Existing Solutions Fall Short

Mainstream AI products were not built for voice-first users with mixed-register input, real-time camera vision needs, and mobile-money payment expectations.

The voice & eyes AI product that voice-first users need across these requirements did not exist on the global market in a packaged consumer form. We built it.

Ecosystem position. An African AI ecosystem is forming around language modelling for African languages, voice agents for specialised verticals, and regional NLP tooling. Déblo operates on an adjacent layer: a horizontal real-time voice & eyes consumer AI platform on Vertex AI, distributed via mobile money across 6 launch countries, with 4 markets on one foundation. The work across the broader ecosystem is complementary, and partnerships with African AI teams on language-specific fine-tuning and corpus collaboration are explicitly on the roadmap.

5. Déblo in One Sentence

Déblo is a real-time voice & eyes AI platform — tutor, advisor, interpreter, support agent — that talks to you, sees what you show through the camera, and runs on Google Cloud Vertex AI. Created in Abidjan, built for the world.

• Real-time voice — phone-call-like response time. Native voice understanding on Gemini Flash Live, not STT → LLM → TTS pipeline.
• Real-time eyes — point your camera at anything (exercise, prescription, invoice, school report) and Déblo sees what you see live. Not screenshot upload. Conversational vision.
• Multilingual — French, English, Spanish, Portuguese, Arabic, German, Chinese: the languages our launch beachhead actually uses today in business, school, and government. Native voice output in local African languages is on the 2027–2028 roadmap, contingent on DFI grant funding.
• Mobile-money native — major regional providers integrated across the launch beachhead, no card required. Stripe and card networks alongside for global users.
• Cultural register handling — when a user code-switches between French and a local register mid-sentence, Déblo understands, does not correct, does not moralise, continues the conversation naturally in standard French or English.
• Built in Abidjan — designed for voice-first users, by an African team, in production, in Africa, with global usability from day one.

6. The Languages the Platform Speaks Today

Multilingual coverage matched to real cross-border usage.

Africa is one of the most multilingual continents on Earth — but the languages of daily business, school, government, and cross-border communication are largely French, English, Spanish, Portuguese, Arabic, and increasingly Chinese. Every African user, in 2026, speaks at least one of these fluently. The same languages serve global users beyond the continent.

What Déblo speaks fluently today, via the Vertex AI backbone with multi-provider routing for resilience:

These are the languages our launch beachhead actually uses to conduct business, study, govern, and communicate across borders — delivered in real-time voice & eyes, in a mobile app, on mobile money.

Behavioural moat — handling mixed-register input

When an Ivorian student says "frero, j'ai pas calé l'exo là dêh" to a mainstream AI assistant, the model usually understands the words but rebases its answer to formal French, often with a corrective hint that breaks register. Déblo is engineered to stay in the user's conversational register: understands the local connective tissue, does not correct, does not moralise, continues in standard French with a complicit, never professorial, tone. The same pattern applies across the regional registers our launch beachhead uses.

[Audio + video clip embedded in deck — 12-second real-time exchange demonstrating mixed-register voice handling without correction or moralisation, with the user showing a math exercise to the camera mid-sentence.]

The multilingual roadmap (institutional thesis, not launch claim)

Native voice output across local African languages is on the platform roadmap for 2027–2028 — fundable by development finance institutions and multilateral programs that maintain budgets for AI in Africa and language preservation, with multi-year corpus building, native linguistic review, and regional voice synthesis fine-tuning. The product distribution layer is already in place. The funding is the next step.

7. The Capability Stack — Vertex AI Native

Déblo runs on Google's frontier stack, on Vertex AI, from day one.

While in voice with Déblo, the user can:

• Stream their camera live — Déblo sees what they see.
• Take a photo of an exercise — Déblo reads it.
• Upload a PDF — Déblo understands it.
• Request a web search — Déblo browses live.
• Send a session report via WhatsApp, SMS, or email.
• Report a bug — logged for engineering.

This combination — voice + real-time camera vision + reasoning + web + messaging in a single continuous conversation, on Vertex AI — is uncommon among consumer voice AI products today. The mobile money distribution layer is what makes it deployable to 850M voice-first users from launch.

8. One App. Four Markets. One Foundation.

The horizontal voice & eyes AI platform thesis.

• One universal app — Déblo (iOS, Android, web). One install, one wallet, one identity. The app adapts internally by user type (student, parent, professional, support team, institutional) — no separate apps to download, no forced choice at install time.
• One web vitrine — deblo.ai — the family-computer fallback, the institutional landing, the public reference.
• Four markets on the same foundation — daily assistance, K-12 education, customer support, languages and inclusion. Same Vertex AI voice runtime, same Gemini reasoning layer, same open-weight Gemma memory, same payment rails. Different system prompts, knowledge bases, pricing models.

One stack to maintain. Four revenue streams. Across geographies and registers.

9. Four Markets on One Foundation

1. Daily assistance — the broadest user base. Parents, students, traders, freelancers, families. Voice-first companion for everyday life: questions, translations, drafts, calculations, photo and document understanding through the camera. B2C credits and Pro subscriptions monetization.

2. K-12 education — 250M school-age children in Africa, plus global education systems. K-12 tutor, exam prep (BAC, BEPC, WAEC, KCSE, GCSE), parent reporting. Country-specific curriculum knowledge across launch beachhead. The student shows a handwritten exercise through the camera; Gemini frontier models on Vertex AI read it, Déblo guides the resolution by voice.

3. Customer support — 50 000+ level-1 support agents across telcos, ISPs, financial services, and public utilities in the launch beachhead alone. Per-call replacement at 50–100 FCFA vs 800–1 500 FCFA human cost. Inbound signal received (Top-5 West African ISP service manager, name available under NDA, April 2026).

4. Languages and inclusion — public-sector and development-finance budgets earmarked for AI inclusion and language preservation in Africa. Citizen services, adult literacy, language preservation. Mobile money native means grant-deployable distribution. Mothers reading school reports through the camera, elders deciphering prescriptions, traders verifying invoices.

Same platform. Different system prompts, knowledge bases, pricing models. One stack, four revenue streams.

10. Traction

Launch date: June 1, 2026. Real traction numbers — monthly active users, conversion, cohort retention, B2B pipeline — will be published 90 days post-launch (September 2026). The figures below are pre-launch state.

Live in production. Real users. Real unsolicited inbound.

"I've never seen anything like this. The voice is real, it understands my child, it sends me a summary on WhatsApp. I've never seen that anywhere else." — Parent test user, Abidjan

In April 2026, a service manager at a Top-5 West African ISP reached out unsolicited after experiencing the product, indicating that Déblo's voice agent capability could be applied to their level-1 call center operations — a workforce of roughly 500 agents (name available on request under NDA).

Footprint at launch:

Clarification on "0 engineers": the team is not understaffed. It is a structurally different team — one founder, two non-technical collaborators, multiple orchestrated AI agents (Claude, Gemini, voice runtime) operating in parallel under the founder's review. The methodology is fully public — 1 100+ articles on thalesandhisaictoclaude.com document the approach in three languages. This is operational reality, not marketing.

11. Two Distribution Moats — Mobile Money + Zero Onboarding

The two architectural decisions that make the platform usable by 1 billion adults the global giants have not designed for.

11.1 Mobile money native

Mainstream AI products typically require an international bank card. Average African adult bank card penetration: 5 % to 15 %, depending on country.

Déblo integrates natively with the major regional mobile money providers covering the 6 launch countries (Orange Money, MTN MoMo, Wave, Moov), plus Stripe and African card networks for global users. KYC, regulatory, settlement, and partnership work represents an 18-month operational head start a San Francisco entrant starts at zero.

Entry tier 100 FCFA (~15 US cents). A grant program can sponsor 5 000 students for six months with a single mobile money disbursement at $30K. A government can subsidise call minutes for rural users without a banking layer. This is grant-deployable infrastructure, not just a payment integration.

11.2 Zero-onboarding — the accessibility moat

No OTP. No slideshow. No tutorial. The app opens, the microphone is already there.

The first screen is the call screen — with a welcome credit already loaded. The user who can't read, has never signed up for anything, has never seen a splash screen still recognizes two icons: the mic, the camera. That is enough to use Déblo.

Other apps gate the user behind email + OTP + tutorial + paywall — a four-step funnel designed for a literate, card-holding, English-speaking user. Déblo opens straight on the call screen. The illiterate mother, the elderly farmer, the night-shift driver does not graduate from "the keyboard era" before reaching the product. We meet them where they are.

The mic and the camera are the only two icons every human recognizes regardless of literacy, language, or device experience. The product is built around that universal vocabulary. No global player is designed from this access point. Bolting it on is not a sprint — it requires rebuilding the funnel from zero.

12. Business Model — Four Revenue Streams

Freemium with horizontal monetization.

B2C Free tier — the foundation

• Welcome credits at signup, free daily credits forever.
• Majority of users stay here. By design. Social commitment.

B2C Pay-as-you-go — the supporters

• From 100 FCFA (~$0.15) per top-up.
• Mobile money native.
• Paying users subsidise free users.

B2C Pro subscriptions — the recurring

• $5–15 per month for adults: accountants, lawyers, HR, healthcare workers, marketers, freelancers.
• Funds the infrastructure baseline.

B2B Enterprise contracts — the scale

• Per-call pricing 50–100 FCFA (~$0.10 to$0.20).
• Telco and ISP support replacement.
• Volume tiered at 10M+ calls per month.

B2G / DFI deployments — the institutional

• Sponsored access programs funded by development finance institutions and foundations.
• Government language preservation contracts.
• Custom language pack development (~$50K to ~$150K per language).

At-scale revenue mix: roughly 40% B2C, 40% B2B and B2G, 20% DFI grants. Unit economics work because AI inference cost dropped roughly 90% in 24 months and mobile money has near-zero marginal cost.

13. Unit Economics

Target model — pre-launch assumptions, to be validated against production data in Q3–Q4 2026.

Acquisition cost (CAC) by channel:

• Organic (ASO + word-of-mouth in school cohorts): ~$0 to ~$1.50.
• Paid social (Meta, TikTok) targeting Pro segment: ~$5 to ~$15.
• B2B enterprise sales: 4–6 month cycle, ~$5K to ~$15K loaded CAC per contract.
• DFI deployment: zero CAC (institutional inbound, grant-matched).

Inference cost backstop: Gemini Flash Live token costs declined ~90% across the 2024–2026 window. At current Vertex AI pricing, a 5-minute voice K-12 session ≈ $0.04 fully loaded (voice + reasoning + OCR + storage). At entry tier 100 FCFA the platform breaks even at session 1 and accumulates margin from session 2.

Why this works at scale:

• Mobile money has near-zero marginal cost per transaction.
• Free tier subsidised by Pro + B2B + DFI layers (the three paying streams).
• Vertex AI committed-use discount kicks in at scale.
• Same engineering investment serves all four markets — no parallel codebase to maintain.

14. Revenue Path & Go-to-Market — The Coca-Cola Playbook

14.1 Revenue path — conservative against 865 M Africa+diaspora voice-first adults

Three reference scenarios, pure B2C top-up funnel, no B2B telco upside included:

Math. Year 1 = 100 K × 5 % × 1 500 FCFA × 12 ≈ 90 M FCFA ≈ $150 K. Year 3 = 2 M × 9$9 M. Mix at maturity targets ~60 % B2C micro top-ups, ~25 % Pro, ~15 % B2B telco. Real cohort metrics — MAU, conversion, retention, contract pipeline — will be published 90 days post-launch (September 2026). Pre-launch ramp models are available to qualified investors under NDA.

14.2 Go-to-market — the market the giants left on the table

We won't out-engineer the giants. We will out-distribute them.

The urban-literate top decile already uses ChatGPT, Claude, Gemini — in San Francisco, in Paris, in Abidjan's Plateau. The other 90 % does not. Not because the AI is weak, but because nobody runs YouTube ads for Gemini in Wolof, nobody trains village ambassadors, nobody hands tablets to rural classrooms. On VPN from London or Paris, AI ads run every 3 minutes. On a Côte d'Ivoire IP, the inventory is empty. Our playbook is Coca-Cola, not Silicon Valley — every village, every language, every screen.

Four parallel distribution levers post-launch:

1. Vernacular ambassadors. On-the-ground sales reps trained per launch country, speaking Wolof, Bambara, Dioula, Lingala, Hausa, Yoruba, Swahili, Pular. The neighbor who explains Déblo in your own language.
2. NGO + humanitarian + education partnerships. Plug into the institutions already on the ground — literacy associations, primary schools, vocational centers, humanitarian NGOs. They have the trust and the reach we cannot build alone in 12 months. Includes institutional grant-funded deployments disbursed via mobile money.
3. Devices in classrooms. Tablets, phones, mini-PCs placed in classrooms and youth centers with Déblo at the center — tutor for group exercises, voice + camera, French / English / local language. Sales motion seeded by founder + 2 field collaborators recruiting.
4. Vernacular ad buys. Targeted YouTube, TikTok, Facebook, WhatsApp Status campaigns on African and diaspora geos — the inventory the giants don't buy. Cost-per-install a fraction of Western markets.

Plus diaspora seeding (translated content + targeted social ads in diaspora communities) and telco B2B support pilots exposing subscriber bases to Déblo via the support agent flow.

We will not win the benchmark race against OpenAI, Anthropic, or Google. We will win the last-kilometer race they decided not to run. The 90 % the giants abandoned is not a niche — it is the majority of humanity.

The free tier remains free, sustainably, funded by the paying minority and the institutional layer.

15. Team and Approach

1 founder. 2 collaborators recruiting. Orchestrated AI agents. 7 products in production.

The human team

• Juste Gnimavo — Founder & CEO, Ivorian, based in Abidjan. 20+ years building infrastructure. 700+ corporate clients. 300+ production servers. 70+ production systems shipped. Founder of TPEcloud and of WorkCloud LTD — the web hosting company providing technical infrastructure across ZeroSuite products including Déblo. Personal site: justegnimavo.com. Parent company: zerosuite.dev.
• Field coordinator — recruiting (school partnerships and B2B enterprise outreach).
• Videographer — recruiting (content production).

The AI agent layer

• Claude (Anthropic) — strategy, copywriting, design iteration.
• Gemini (Google) — voice runtime, multimodal reasoning, real-time camera vision.
• Claude Code (Anthropic) — software engineering, multi-agent parallel execution across 6+ terminals.

ZeroSuite operates 7 products in production with this configuration: Déblo, FLIN compiler, 0fee, 0seat, 0cron, 0sql, otpx. Methodology documented publicly at thalesandhisaictoclaude.com — 1 100+ articles in EN / FR / ES — making the engineering approach fully auditable. This is the structural advantage that lets one founder ship a multi-product platform at the capital efficiency a conventionally-staffed African startup could not match.

Legal and operational responsibility sits with the founder under U.S. C-corp ZeroSuite Inc. (Delaware). AI agent output is reviewed and committed by the founder. Incident response, regulatory compliance, and customer support escalation are human-handled.

16. Product Demo Surfaces

Live in production today. The product can be experienced in three places before any call.

• App Store (iOS) — live, public install.
• Google Play (Android) — in review, expected live within 48 hours of this deck version.
• Web app (deblo.ai) — voice + camera streaming live in the browser, no install required, supports family computers and institutional terminals.

[Embedded screenshots: (a) voice call view with active waveform + transcript, (b) Déblo Eyes camera streaming view with live transcript overlay, (c) parent WhatsApp session report after a K-12 session. Full demo video at deblo.ai/demo.]

Founder demo availability: any 30-minute slot on request. → [email protected]

17. The Ask

Five ways to engage. Each closes a specific layer of the stack.

Investors

We are running a seed round. Specific terms are shared on request to qualified investors. Use of funds across four buckets:

• 40% — Engineering and infrastructure : Vertex AI committed-use commitment, Gemini token budget for K-12 free tier subsidy, multimodal and Eyes feature hardening, mobile reliability.
• 30% — Go-to-market : B2B telco sales hires (Abidjan, Lagos, Dakar), DFI grant matching, school partnership coordinators, diaspora paid acquisition.
• 20% — Operations and compliance : finance, HR, regulatory (mobile money KYC across countries), founder runway.
• 10% — Strategic reserve : 18-month runway buffer, opportunistic hires.

Target runway: 18 to 24 months. → [email protected]

Foundations, NGOs, development finance partners

Fund sponsored deployments in rural areas, language preservation programs, government partnerships. $30K USD sponsors 5 000 children for 6 months — canonical pricing reference. Documented, measured social impact, audited by academic partners. → [email protected]

Enterprise customers

Telcos, ISPs, financial services, healthcare, public utilities. Pilot deployments available across major operator territories. We support level-1 agents at a fraction of the cost. → [email protected]

Technology partners (Google Cloud, voice infrastructure, mobile money rails)

Joint case studies, reference deployments, Vertex AI committed-use partnerships, open-weight Gemma reference deployment, multi-rail mobile money expansion. → [email protected]

Media and journalists

An angle few cover: African solo founder shipping production-grade real-time voice & eyes AI from Abidjan on Vertex AI, with a small team and orchestrated AI agents handling implementation. Field tour access available. → [email protected]

Regulatory and privacy posture

Déblo operates under Côte d'Ivoire's Loi 2013-450 framework for personal data protection, the UEMOA regional data protection directive, and GDPR for diaspora users in the EU. Mobile money payment flows comply with operator-specific KYC requirements across the 6 launch countries. Data residency, retention, minor consent handling (critical for the K-12 vertical), and audit trails are designed into the product architecture, not bolted on. A dedicated compliance brief is available to enterprise, B2G, and DFI prospects on request. → [email protected]

White paper available at deblo.ai/resources/white-paper. Founder availability: any 30-minute slot on request.

End of deck.