White Paper — Déblo

Real-Time Voice AI

A platform thesis: created in Abidjan, built for the world

Author: Juste Azandegbe Gnimavo, Founder & CEO, ZeroSuite Inc. Version: 2.0 — May 2026 Classification: Public — Free for distribution (CC BY 4.0)

Executive Summary

Déblo is a real-time voice AI platform. The user speaks. Déblo answers live, like a phone call. The platform is built for people who prefer speaking over typing — a preference shared by parents, students, traders, freelancers, support teams, and communities across local-language contexts everywhere.

The product was created in Abidjan, Côte d'Ivoire, through a U.S. company, and is built for global use. Africa is the launch beachhead, the cultural anchor, and the strongest initial adoption market — but the product itself is globally usable from day one. The same foundation serves four markets:

1. Daily assistance — parents, students, traders, freelancers, families.
2. K-12 education — homework, explanations, revision, exams, OCR, voice tutoring.
3. Customer support — AI voice agents for support teams, call centers, and live assistance.
4. Languages and inclusion — translation, multilingual coverage, voice access for people who prefer speaking.

Most consumer AI products today are text-first, English-dominant, and require an international bank card. Voice modes, when available, sit behind a paywall priced for high-income markets. Code-switching between French and a local African register is handled mechanically rather than conversationally. Mobile money is invisible.

Déblo addresses each of these gaps as a product foundation, not a localization layer. The voice runtime is real-time and runs as a continuous loop. The language coverage matches the languages Africans actually use across borders for business, school, and government today — French, English, Spanish, Portuguese, Arabic, German, and Chinese — with a behavioural register layer that stays with the user when they mix in local expressions. The payment rail is mobile money from 100 FCFA per top-up; no bank card required. The cultural register handling was built in Abidjan, by an African team, against real African user input.

Wider native voice output in local African languages is a multi-year roadmap, contingent on grant-funded corpus building, native linguistic review, and voice cloning. It is not a launch claim. It is the institutional partnership opportunity.

This white paper is the case for a real-time voice AI platform deployable across four markets on a single technical foundation — with Africa as the launch beachhead and global users from day one.

Key figures:

• 850 million voice-first addressable users across Africa and diaspora — the strongest initial market for the platform
• 7 global languages spoken fluently by Déblo at launch (French, English, Spanish, Portuguese, Arabic, German, Chinese)
• 38% average secondary school dropout rate in our six launch countries (Market 2)
• 500-agent unsolicited inquiry from a regional ISP service manager (Market 3)
• 10+ local African languages targeted for native voice output by 2028, contingent on grant funding (Market 4 institutional thesis)
• $0.15 USD entry-level Déblo session cost

Section 1 — The real-time voice AI thesis

1.1 Where voice AI sits in 2026

Real-time voice AI reached production-grade quality in late 2025. Phone-call-like latency is now feasible on entry-level hardware. The technical envelope that mainstream AI assistants reserve for paid voice modes in English is, today, deployable in French, in a broader set of languages, on entry-level Android handsets, over mobile networks in low-bandwidth conditions, and on mobile-money payment rails.

The category remains largely structured around English-dominant assistants billed by international card. Real-time voice products with local cultural register handling, multilingual coverage matching cross-border African usage, and mobile-money distribution remain rare. That is the gap Déblo addresses — not as a regional copy of a global product, but as a platform built around the way voice-first users actually behave.

We surveyed AI-funded startups in May 2026. Africa appears rarely in product taglines. Real-time voice is mostly sold as developer tooling (voice infrastructure providers, voice runtime APIs, voice cloning services), not as a finished consumer product. The consumer-facing real-time voice product, built with mobile-money distribution and cultural register handling for code-switching users, is a category Déblo is choosing to occupy.

1.2 What "real-time voice" means, exactly

The word "real-time" is overused. Here it means a specific technical commitment:

• Low-latency, phone-call-like response time from the moment the user finishes a sentence to the moment Déblo's first audio token plays on device. Measured in production, on entry-level Android handsets, over Orange CI 4G during peak hours in Abidjan.
• No turn-taking awkwardness. The user does not press a button to speak or wait for a "your turn" beep. Déblo interrupts when appropriate, stays silent when it is not. The conversation flows.
• Native voice understanding, not speech-to-text then text-to-speech then back. The voice runtime handles speech and reasoning in one continuous loop.

This envelope has matured into production on global AI mobile apps, where it sits behind premium subscription tiers payable by international card. Déblo delivers the same envelope in French, across the languages Africans use today, on entry-level hardware, on mobile-money rails, in an app designed for the way voice-first users actually behave.

1.3 The horizontal voice AI platform thesis

Déblo is built as a horizontal layer, not a single vertical app. The same real-time voice plus reasoning plus multimodal stack serves:

• A primary-school student in Bouaké asking for help with a fractions exercise.
• An accountant in Dakar drafting a SYSCOHADA-compliant balance sheet narrative.
• A market vendor in Cotonou calculating change at the till.
• A telecom subscriber calling Déblo as a level-1 support agent for a top-up issue.
• A government-deployed assistant explaining a tax form in a local language.
• A diaspora user in Brooklyn calling Déblo to translate a French letter into English for an English-speaking spouse.
• A freelance designer in Casablanca dictating a client proposal between meetings.

These are not seven different products. They are seven configurations of one product. The voice platform is the same in every case; the markets differ in system prompts, knowledge bases, and pricing models.

4 markets. One foundation. This is the platform thesis.

Section 2 — The multilingual reality

2.1 The linguistic context of modern Africa

A child in Abidjan learns mathematics in French. She greets her grandmother in a local language. She slips local expressions into her conversation with friends. Her mother sells in the market in French and a local language. Her father negotiates with a foreign supplier in French and Arabic. Her uncle in Lagos texts her in English mixed with regional vernacular. Her cousin in Madrid replies in Spanish.

This is the linguistic reality of contemporary Africa: colonization, globalization, and cross-border commerce have made the continent one of the most multilingual on Earth. The languages of daily business, education, government, and cross-border communication, however, are largely French, English, Spanish, Portuguese, Arabic, and increasingly Chinese.

In Côte d'Ivoire, French is spoken by people who never went to school. In Senegal, French is the language of administration and most of the press. In Cameroon, French and English coexist at the national level. In Nigeria, English is the unifying language. In Mozambique and Angola, Portuguese is universal. In Morocco and Algeria, Arabic and French are both standard. There is no African user, in 2026, who does not speak at least one of these global languages fluently.

This is the linguistic market Déblo serves at launch — alongside global users who share the same multilingual reality (European parents, Latin American freelancers, Middle Eastern professionals, North American diaspora).

2.2 What Déblo speaks fluently today

Through its frontier model backbone (Claude, GPT, Mistral, routed via OpenRouter), Déblo speaks natively and fluently:

These are the languages African users — and global users — already speak to conduct business, study, government, and family life across borders. The differentiator is not language count. It is the delivery: real-time voice, on entry-level mobile, on mobile-money rails, with a behavioural register layer that handles mixed-register input naturally.

2.3 The behavioural moat: register handling without correction

When an Ivorian user types "frero, j'ai pas calé l'exo de maths là dêh, tu peux m'aider ?" into a mainstream AI assistant, the model usually understands the words but rebases its response to formal standard French, occasionally with a corrective hint or a switch in tone. The cognitive distance between input and output makes the conversation feel alien.

Déblo is engineered, through the voice prompt system, to stay in the user's register: it understands the local connective tissue, does not correct, does not moralise, and continues the conversation in standard French with a complicit, never professorial, tone. The output is not the local register — it is French — but the conversational handling of the mixed-register input is what gives Déblo cultural credibility. A user code-switching into any local register gets the same treatment: understood, not corrected, conversation continues smoothly.

This is the defensible behavioural moat at launch. It is real, measurable, and observable in production. It is not a claim of native local-language output.

2.4 The multilingual roadmap

Native voice output across local African languages is on the platform roadmap for 2027–2028. It is not in the launch product.

Building it requires:

1. Corpus collection at scale — conversational, oral, pedagogical data that does not exist on the public web in sufficient volume for any of these languages.
2. Native speaker linguistic review and prosody calibration for each language — slow, expensive, specialised work.
3. Fine-tuning of voice runtimes on these corpora — requires GPU budget significantly beyond pre-revenue startup capacity.
4. Voice cloning of authentic regional accents and registers — not generic synthetic voices.

This is a multi-year, multi-million-dollar undertaking. It cannot be funded from B2C credit revenue alone. It requires institutional partnership.

The launch product covers French, English, Spanish, Portuguese, Arabic, German, and Chinese — fluently, in real-time voice. The roadmap is the path from a multilingual-by-frontier-model platform to one that hosts native voice output in local African languages.

2.5 Why this matters beyond fluency — the institutional thesis

The African Union has identified digital language preservation as a strategic priority under its Agenda 2063 framework. UNESCO has run a parallel endangered languages digitization program since 2019. The Mastercard Foundation has earmarked specific budget for AI for African languages since 2024. AFD (France), GIZ (Germany), the African Development Bank, the Bill and Melinda Gates Foundation, and the World Bank all maintain active programs on AI inclusion for Africa.

Déblo's local-language roadmap is not a launch claim. It is a fundable institutional thesis — and it is precisely the work for which DFI grants and AU/UNESCO programs exist. The product is in production, the team is in Abidjan, the distribution layer is mobile money, the user base is real, and the technical foundation is ready to host fine-tuned models when the funding arrives.

That positioning is what makes Déblo eligible for B2G and DFI streams that mainstream AI labs will not realistically pursue. We are not promising what we have not built. We are positioning the product that already serves Africa's actual linguistic reality today — and inviting institutional partners to fund the next layer.

Section 3 — Market 1: Daily assistance

3.1 The opportunity

Daily assistance is the widest market for a real-time voice AI platform. The addressable user is anyone who would rather speak than type: parents managing family logistics, traders calculating margins, freelancers drafting client emails, families navigating administrative paperwork, professionals dictating notes between meetings.

The user does not need a vertical product. They need a voice companion that handles whatever comes up: a question, a translation, a draft message, a calculation, a photo to interpret, a document to summarise. The same product, across the day, across the week, across contexts.

3.2 What Déblo delivers in daily assistance

• Real-time voice conversation for any everyday topic.
• Photo OCR for documents, receipts, contracts, letters, administrative paperwork.
• Translation across the seven launch languages, in voice or text.
• Draft writing assistance for emails, messages, CVs, cover letters, proposals.
• Calculation, conversion, basic financial questions for traders and small-business owners.
• Session memory within a conversation, with WhatsApp / SMS / email follow-up summary on request.

3.3 Why this market matters for the platform

Daily assistance is the entry vertical for the broadest possible audience. A parent who uses Déblo to draft a school note becomes a candidate for K-12 tutoring sessions for their child. A trader who uses Déblo to read a contract becomes a candidate for the Pro tier. A diaspora user who translates a letter becomes a candidate for monthly subscription.

This is also the market where Déblo is most directly globally usable from day one. The product needs no vertical adaptation to serve a freelance designer in Casablanca, a delivery worker in Lagos, a parent in Brooklyn, or a small-business owner in Lisbon.

3.4 Economics of Market 1

• Freemium tier: welcome credits at signup, free daily credits forever, no card required.
• Pay-as-you-go: top-up from 100 FCFA (15 US cents) via mobile money or card.
• Pro subscriptions for power users: $5 to$15 per month depending on usage profile.

Section 4 — Market 2: K-12 education

4.1 The opportunity

Africa has 250 million school-age children. According to UNESCO and UNICEF:

• 90 million have no access to a quality educational support system outside school hours.
• 50 million speak a mother tongue different from their language of instruction.
• 30 million live in rural or peri-urban areas with limited access to private tutoring.
• The average household education budget in West African francophone countries is 15 000 to 50 000 FCFA per month per child (roughly 25 to 80 US dollars).

The K-12 opportunity is global beyond Africa — primary and secondary education systems everywhere share variants of the same gaps — but Africa is where the structural problems converge most sharply.

4.2 The five structural problems

1. Language gap. Children learn in a school language different from their home language, with no translation help when concepts are abstract.
2. Tutor accessibility. Private tutors charge 30 000 to 80 000 FCFA per month — equivalent to the median formal-sector salary in many countries.
3. Parental availability. Parents work twelve to fourteen hours per day, often in the informal sector, and cannot supervise homework.
4. Curriculum specificity. Each country has its own school program. Senegalese BAC differs from Beninese BEPC differs from Ghanaian WAEC differs from Ivorian BAC.
5. Hardware reality. Children use shared family phones, often older Android, with intermittent connectivity.

4.3 What Déblo delivers in K-12 education

• Real-time voice tutoring in French and English, with multilingual support for the other launch languages.
• Photo OCR for handwritten exercises and textbook pages.
• Country-specific curriculum knowledge (Côte d'Ivoire, Senegal, Benin, Togo, Cameroon, DR Congo, Ghana, Morocco at launch; further countries in Phase 2).
• Exam preparation with BAC, BEPC, WAEC, KCSE, GCSE, CEPE, BFEM, DEF, and other regional programs.
• Socratic method by default — Déblo guides through questioning rather than handing over answers.
• Parental session reports via WhatsApp summary on request.

Déblo does not replace teachers. It supports learners outside the classroom, fills the parental-availability gap, and gives families a tool that fits their actual budget and hardware.

4.4 Economics of Market 2

• Freemium tier: welcome credits at signup, free daily credits forever, no card required.
• Pay-as-you-go: top-up from 100 FCFA (15 US cents) via mobile money.
• School partnerships: per-classroom licensing at 5 000 to 15 000 FCFA per month, paid by school administration.

Target Phase 1 deployment: 100 000 active monthly users across six launch countries by end 2026.

Section 5 — Market 3: Customer support

5.1 The opportunity

The African telecom and ISP sector operates approximately 50 000 active level-1 customer service agents across major operators (telcos and ISPs). Average agent fully-loaded cost: 200 000 to 400 000 FCFA per month per seat.

Most level-1 inquiries are repetitive: balance check, top-up issue, package activation, basic troubleshooting, address change, SIM swap. These are the exact patterns real-time voice AI handles well in production today. The opportunity extends to financial services (mobile money support), public utilities, e-commerce, healthcare triage, and any support function with a repetitive level-1 workload.

5.2 The inbound signal

In April 2026, before any outbound effort, a service manager at a regional ISP wrote to ZeroSuite unsolicited:

"This isn't just an education product. This could replace our entire 500-agent call center."

That single message validates the horizontal platform thesis. If one regional ISP recognises the opportunity unprompted, larger operators across the continent will too — and they have orders of magnitude more agents and budget.

5.3 What Déblo delivers in customer support

• Real-time voice agent answering subscriber inquiries in the local language register, with the local accent.
• Native handling of mobile money flows (balance, top-up, transfer queries).
• Code-switching handled without escalation when the user mixes French with a local register mid-sentence.
• Integration with telco billing systems via standard APIs.
• Hand-off to human agent when complexity exceeds threshold.
• Per-call cost target: 50 to 100 FCFA per call vs 800 to 1 500 FCFA per call with human agents at the equivalent quality bar.
• Response latency target: phone-call-like response time, equivalent to or better than human agent SLAs.

5.4 Pricing model

• Per-call pricing: 50 to 100 FCFA per resolved call (10 to 20 US cents).
• Volume tiered: enterprise contracts at 10M+ calls per month with negotiated unit economics.
• Setup fees for integration with billing and CRM systems.
• Optional premium: custom voice cloning of the operator's existing brand voice.

Target Phase 1 deployment: two pilot contracts signed (one telco, one ISP) by end 2026.

5.5 Why the platform fits this market

Mainstream support automation tools are mature in English-speaking Western markets. Few of them handle West African French mixed with local registers. Few of them route mobile money flows natively. Few of them are accountable on Lagos, Abidjan, or Dakar SLA.

Déblo is built to deploy in this environment without a multi-quarter localization project — and the same platform can be deployed for global support operations where multilingual coverage and natural voice flow are the requirement.

Section 6 — Market 4: Languages and inclusion

6.1 The opportunity

Public sector and development finance buyers maintain two converging budget streams that the platform is structurally eligible for:

1. AI for development digital transformation budgets — AFD (Agence Française de Développement), GIZ (Germany), Mastercard Foundation, Bill and Melinda Gates Foundation, African Development Bank, World Bank, USAID. Committed budgets for AI in Africa, public figures only, exceed $1.5 billion in active programs as of May 2026.
2. Language preservation and inclusion budgets — UNESCO, African Union Agenda 2063 framework, regional cultural preservation funds, country-level cultural ministries. Smaller individual budgets but growing fast and politically prioritised.

The market extends beyond Africa wherever voice access for non-readers, multilingual citizens, or speakers of underserved languages is a public-policy priority.

6.2 What Déblo delivers in this market

• Voice-enabled citizen services (tax form explanations, agricultural extension advice, public health hotlines) in the languages the platform supports today, with a roadmap for local languages.
• Adult literacy support for users who cannot read but can speak.
• Cultural and historical knowledge bases accessible by voice.
• Public sector workforce support (teacher assistants, healthcare worker triage tools, civil servant onboarding).
• Documented impact metrics suitable for DFI reporting (Theory of Change, Logical Framework, OECD-DAC criteria).

6.3 Why mobile money distribution unlocks this market

Most DFI-funded digital tools fail at distribution. They are built remotely, hosted on infrastructure that does not optimise for African network conditions, and paid for in dollars by card. African end users frequently do not have the bank cards, the bandwidth, or the latency tolerance to use them.

Déblo addresses this at the foundation: Wave, MTN Mobile Money, Orange Money, Moov Money, Togocel Cash, and Free CI Money are in the product, not an afterthought. A grant program can sponsor 10 000 student accounts with a single mobile money disbursement. A government can subsidise call minutes for rural users without a bank rail. This is grant-deployable infrastructure.

6.4 Pricing model

• Grant-funded sponsored deployments: $30 000 sponsors 5 000 children for 6 months of unlimited use (canonical reference point).
• Government licensing per-citizen-served, billed quarterly.
• Custom language pack development: $50 000 to$150 000 per language, fully owned by the funder.
• Impact measurement reporting bundled (academic partner audits).

Target Phase 1 deployment: one signed DFI partnership and one government pilot by end 2026.

Section 7 — Stack, infrastructure, and mobile money distribution

7.1 The technical stack

Voice runtime. Gemini Live (Google) as the production real-time voice runtime, with Ultravox as a tested fallback path. Native speech understanding — no ASR → LLM → TTS pipeline. Custom African-accented voice cloned via Eleven Labs.

Reasoning layer. Claude (Anthropic), GPT (OpenAI), Mistral, routed through OpenRouter. Each model is selected by request type — pedagogical and complex reasoning routed to one tier, factual queries to another, multilingual tasks to a third.

Multimodal during voice. Photo OCR (Datalab Marker V2 primary, Mistral fallback), PDF reading, web search, WhatsApp and SMS messaging, bug reporting. All accessible mid-conversation without breaking the voice loop. The combination — voice plus vision plus web plus messaging in one continuous conversation — is uncommon among consumer voice AI products today.

Frontend. SvelteKit web plus React Native mobile. iOS App Store, Google Play Store, and direct Android APK.

Backend. FastAPI (Python), deployed on Hetzner Cloud (Germany — Falkenstein). Designed for African network conditions: graceful degradation, offline session caching, low-bandwidth optimisation, retry logic against intermittent connectivity.

7.2 The mobile money distribution layer

Déblo integrates natively with:

• Wave (Côte d'Ivoire, Senegal, Mali, Uganda)
• Orange Money (Côte d'Ivoire, Senegal, Cameroon, Mali, Burkina Faso, Guinea, Madagascar, Morocco)
• MTN Mobile Money (Côte d'Ivoire, Cameroon, Ghana, Uganda, Rwanda, Zambia, South Africa)
• Moov Money (Côte d'Ivoire, Benin, Togo, Burkina Faso, Niger)
• Togocel Cash (Togo)
• Free CI Money (Côte d'Ivoire)

Plus Stripe for international card payments and selected African card networks.

Entry tier: 100 FCFA (15 US cents). Pro tier subscriptions for adults: $5 to$15 per month, payable by mobile money or card.

This is the structural decision that makes the platform usable by hundreds of millions of African adults who do not have an international bank card — and the same decision keeps the global card path open for users who do.

7.3 Why this stack is hard to replicate from outside the continent

A large global lab pivoting to the African market in 2027 would need to:

1. License real-time voice infrastructure regionalized to African network conditions (12 months minimum).
2. Integrate with multiple mobile money operators across the continent (6 to 12 months per operator, often gated by regulatory KYC).
3. Establish on-ground sales for B2B telco contracts (3 to 5 years to build relationships).
4. Earn cultural authenticity that survives marketing scrutiny — built by an African founder, in Africa, against African user input.
5. Calibrate behavioural register handling across multiple regional contexts — staying naturally with the user's mixed input without correcting or moralising — across the regional registers our launch beachhead uses.
6. (When the institutional local-language work is funded and shipped) Build local-language corpora and fine-tune voice runtimes — a multi-year, multi-million-dollar undertaking the platform is positioned to receive via Market 4 partnerships.

Déblo has a meaningful head start on points 1 through 5. Point 6 is the multi-year roadmap, fundable through DFI partnerships, with the distribution infrastructure already in place to absorb it.

Section 8 — Deployment plan

8.1 Phase 1 (Q2–Q4 2026) — Six countries, four markets seeded

Countries: Côte d'Ivoire, Senegal, Benin, Togo, Cameroon, Ghana.

• Market 1 (Daily assistance): broadest user base, monetised through credits and Pro subscriptions.
• Market 2 (K-12 education): 100 000 active monthly users target.
• Market 3 (Customer support): 2 pilot contracts signed (1 telco + 1 ISP).
• Market 4 (Languages and inclusion): 1 signed DFI partnership + 1 government pilot.

8.2 Phase 2 (2027) — Twelve additional countries

Francophone: Mali, Burkina Faso, Niger, DR Congo, Gabon, Madagascar. Anglophone: Kenya, Nigeria, Tanzania, Uganda, Rwanda, South Africa.

• Market 1: continental rollout following mobile money integration coverage.
• Market 2: 1.2M monthly users.
• Market 3: 5 enterprise contracts active.
• Market 4: 3 active DFI deployments.

8.3 Five-year targets (all markets combined)

Revenue mix at scale: roughly 40% B2C credits and subscriptions, 40% B2B and B2G contracts, 20% DFI grant deployments. The free tier remains free, sustainably, funded by the paying minority and the institutional layer.

Section 9 — Why this works now

Five macro factors converge in 2026:

1. Voice AI maturity. Real-time voice runtimes reached production-grade quality in late 2025. Phone-call-like latency is now feasible on entry-level hardware.
2. Mobile money saturation. Wave, MTN Mobile Money, and Orange Money together cover the majority of digital payments in francophone West Africa. The card-payment barrier is gone for the launch beachhead.
3. Smartphone penetration. Africa crossed 50% smartphone penetration in 2024, projected 80% by 2030. Even budget Android can run Déblo.
4. AI inference cost decline. High-quality LLM inference dropped roughly 90% in cost since 2023. Pricing at 15 US cents per session is economically viable at scale.
5. Demographic momentum. Africa: 250M students today, 450M projected 2050 — one of the largest educational markets globally, structurally underserved. Combined with the global voice-first user base across other regions, the macro tailwind is in place.

These factors align uniquely now. Three years ago, the platform was technologically infeasible. Three years from now, the market will be competitive — but Déblo will already have the brand, the data, the cultural authenticity, the mobile money integrations, and the customer relationships.

Section 10 — Call to action

Foundations, NGOs, and multilateral institutions

Sponsored deployments for rural and underprivileged regions. $30K USD sponsors 5 000 children for six months. Documented impact, audited by academic partners. → [email protected]

Technology partners

Joint case studies, reference deployments, technical roadmap collaboration. → [email protected]

Enterprise customers

Telcos, ISPs, financial services, healthcare, public utilities operating customer support at scale. Pilot deployments available. → [email protected]

Investors and funders

Bootstrap to date. Open to conversations with investors aligned on real-time voice AI infrastructure at scale, with a five-year horizon and tolerance for a multi-market horizontal play. → [email protected]

Media and journalists

African solo founder shipping production-grade real-time voice AI from Abidjan, with a small team and AI agents handling implementation. Field tour access available. → [email protected]

Conclusion

Déblo is a real-time voice AI platform. The user speaks. Déblo answers live, like a phone call. The platform is built for people who prefer speaking over typing — and that preference is shared by hundreds of millions of people inside Africa and beyond.

Africa is the launch beachhead, the cultural anchor, and the strongest initial market. It is not the ceiling. The same product, with the same foundation, serves daily assistance, K-12 education, customer support, and language inclusion — across geographies, currencies, and registers.

Created in Abidjan. Built for the world.

Knowledge accessible to anyone who can speak.

If you operate, fund, or report on AI infrastructure, voice-first products, or development finance work, you are a potential partner. We invite you to reach out.

Contact

Juste Azandegbe Gnimavo Founder & CEO, ZeroSuite Inc. [email protected] Abidjan, Côte d'Ivoire

Web https://deblo.ai (product) https://zerosuite.dev (parent company) https://thalesandhisaictoclaude.com (engineering blog)

Document license This white paper is published under Creative Commons Attribution 4.0 (CC BY 4.0). It may be freely shared, quoted, and translated, with attribution to ZeroSuite Inc.

Document version history

• Version 1.0 — April 2026 — Initial publication (education-only frame, archived in git history).
• Version 2.0 — May 2026 — Real-time voice AI platform thesis aligned to the four-market foundation; current document.
• Version 3.0 — Planned Q4 2026 — Updated with first six months of deployment data.

End of white paper.