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Intron Africa-centric Voice AI Accelerates Delivery of Justice, Patient Care, with New Sahara Models

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Intron, a cutting-edge Africa-centric voice technology platform, is accelerating the delivery of justice, patient care, and customer experiences across Africa through Sahara, a suite of best-in-class speech recognition and text-to-speech AI models built specifically for African voices and accents, which outperforms giants like OpenAI, Azure, Google, and AWS at recognising African accents. See publicly available benchmarks and datasets.

Intron initially launched its clinical speech recognition platform in 2022 for hospitals and health ministries throughout Africa. Since then, Intron’s capabilities have expanded, offering advanced real-time voice AI solutions across key sectors, including financial services, telecommunications, legal and government agencies. These solutions are already driving tangible impact and powering voice applications across verticals such as:

Legal services: Earlier this year, the Ogun State Judiciary adopted Intron Sahara to alleviate the burdens of manual note-taking during court proceedings, allowing judges to focus entirely on the dialogue in the courtroom, enhancing attention, accuracy, and speed. Sahara has significantly reduced session times, enabling more cases to be heard and expediting the delivery of justice.

 Health: Rwanda’s Ministry of Health tapped Intron to accelerate the nationwide rollout of its home-grown electronic medical records, using voice-driven documentation and automated translation to ease adoption for clinicians. At EHA Clinics, a leading hospital with locations in Abuja, Kano, and Lagos, Nigeria, Sahara models cut clinical note times down to 57 seconds for a roughly 100-word report, improving the quality and detail of clinical notes in far less time.

Call Centres: Digital finance platform, Branch International, is collaborating with Intron to personalise after-hours outbound engagement, improving responsiveness and customer experience using Sahara CX Intelligence–advanced low-latency human-like conversational voice agents.

“Before now, we had to write down everything. It was exhausting and slow. Now, we can focus on what matters. What used to take 4+ hours now concludes in 2–3 hours. My Lord no longer has to write during proceedings.

He now focuses entirely on what is being said, ensures everything is properly recorded, and we’re achieving much more in significantly less time than before,” reports the Office of the Chief Registrar, Ogun State High Court.

Over 2 billion people in Africa remain underserved and overlooked by Big Tech, despite AI revolutionising communication, productivity and innovation. As a result, flawed voice recognition systems routinely fail to understand African names, languages and accents.

“Focusing on speech AI, Sahara tackles these challenges directly with models trained on local data, accurately recognising heavily accented African names, currencies, numbers, decimals and technical terms where imported platforms fall short.

At its core, Sahara is built on a proprietary dataset of more than 3.5 million audio clips from over 18,000 speakers across 30+ countries, powered by Intron’s patented AccentMix algorithm and years of focused R&D.

Intron’s speech-to-text models recognise over 300 distinct African accents and dialects, from Ghanaian English to Zulu-inflected speech. Its deep exposure to African speech patterns also enables stronger performance on North African and Arabic-English accents, surpassing expectations beyond its explicit training, outperforming several frontier voice AI models.

Africa-centric AI models powering this new wave of impact include:

Sahara-Optimus: Inton’s flagship general-purpose cross-domain speech recognition model optimised for African accents

Sahara-TTS: The first pan-African speech synthesis model supporting 80+ female/male voices, in 40+ African accents spoken across 10+ countries

Sahara-Voice-Lock: Intelligent Voice authentication [MFA or OTP] and security, tuned for African voices, accents and languages to combat fraud and deepfakes

On the back of this breakthrough and most-recent warchest of over 30,000 hours of local language data in 64+ languages from over 32,000 speakers, Intron is training its next-generation Sahara-Titan model, a single advanced AI model that can understand, transcribe, and translate between 20 of Africa’s top languages like Swahili, Hausa, and Zulu. Similarly, Sahara-Primus will be able to generate fluent, high-quality, and natural-sounding speech in 20 African languages–advanced models that are long overdue and in high demand, ushering in a new era of compelling user experiences across the continent.

Tobi Olatunji, CEO of Intron, says: “Intron represents a future where no community is left behind by technology. Our recent industry-leading benchmarks show what’s possible when Africa builds for itself. Sahara is more than a technical breakthrough; it’s an ecosystem victory. Rather than rail against Big Tech model bias, why not build better models?”

Meaningful AI adoption is on the rise across the continent, and Intron is uniquely positioned to power innovative AI initiatives by startups, enterprises, and government institutions with robust APIs for speech-to-text, text-to-speech, and conversational voicebots tailored for local needs.

In South Africa, the digital health nonprofit Audere is integrating Intron’s voice AI into its youth-focused reproductive health chatbot, creating more natural and engaging conversations. C-Care, Uganda’s largest private hospital network, is also leveraging Sahara to cut patient wait times, reduce errors, and ease documentation across its 20+ hospitals and clinics. Intron also collaborates with several enterprises and organisations like Helium Health in Nigeria, the Rural and Urban Private Hospitals Association of Kenya (RUPHA), Rescue.co in Kenya, Aminu Kano Teaching Hospital in Northern Nigeria, and Elephant Healthcare– each driving meaningful and innovative AI applications across Africa.

Olatunji concludes: “Intron was born in the busiest hospital wards, where background noise and scarce resources made accurate speech recognition a daily battle. We built for the hardest environment first, and now our technology scales effortlessly to courts, call centres and content creators. I’m proud of what our team has achieved – but we’re not alone. African AI is rising fast, built by local talent and data. Now is the moment to support, build and buy African so no community is left behind.”

Following a $1.6 million pre-seed raise in 2024, Intron has accelerated R&D, bolstered both cloud-native and on-premises deployments, and continues to grow its Research, Engineering, and Growth teams. Now serving over 40 organisations across 8 countries, the company continues to evolve from its roots in healthcare, becoming the voice-infrastructure layer of choice for startups and enterprises across Africa.


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Activist Warns against Rising Junk Food Culture in Nigeria

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Nnimmo Bassey, environmental activist and food sovereignty advocate has raised concerns over the growing influence of junk food culture and global food politics on Nigeria’s food systems.

Activist Warns against Rising Junk Food Culture in Nigeria

Nnimmo Bassey, environmental activist

Bassey warned that the increasing consumption of highly processed foods poses serious risks to public health, cultural identity, and national food security.

He made these remarks on Thursday while speaking at the Sustain-Ability Academy lecture on Food, Power and the  Politics of Hunger, organised by the Health of Mother Earth Foundation in collaboration with the University of Port Harcourt.

“Food is not just for sustenance; it is central to our identity, our relationships, and our traditions,” he said.

He explained that traditional diets reflect the diversity of Nigeria’s ethnic groups and have historically fostered unity within communities.

Bassey traced the evolution of food systems in Nigeria, highlighting how colonialism, commerce, and conflict have reshaped local diets.

He referenced the Nigerian Civil War as a turning point when food was weaponized, leading to widespread malnutrition and long-term dietary changes, particularly in the Eastern region.

The activist criticized the rapid rise of fast food consumption, describing it as a product of modern society’s demand for instant gratification.

According to him, fast food outlets use sensory stimulation, bright lighting, loud music, and constant visual entertainment to distract consumers from questioning the nutritional value of what they eat.

“People leave with more than just a full stomach, they carry heavy metals, artificial colourings, and harmful substances in their bodies,” he said.

Bassey also expressed alarm over the increasing presence of genetically modified organisms (GMOs) in Nigeria’s food system.

He argued that such products, often introduced without sufficient scrutiny, could have long-term health and environmental consequences.

He further cautioned against the role of political leaders in normalizing unhealthy consumption patterns.

“When top politicians publicly consume junk food and sugary drinks, they send a dangerous message that such habits are acceptable or even desirable,” he said.

At the heart of his argument is what he described as “food colonialism” a system driven by global power dynamics, where economic pressures, debt, and cultural influence shape local food choices to benefit multinational corporations at the expense of local farmers.

Bassey called for a “decolonization” of food systems across Africa, urging governments and citizens to prioritize indigenous foods, protect seed-sharing traditions, and resist policies that undermine local agricultural practices.

He also challenged prevailing narratives around hunger, questioning whether food insecurity is truly a result of low productivity.

“In countries like Nigeria, nearly half of all food produced goes to waste. The issue is not just production, but distribution, policy, and power,” he explained.

The session concluded with a call for urgent reforms to ensure fairness, resilience, and sustainability in food systems, with a focus on supporting smallholder farmers and addressing the structural causes of hunger.


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Gartner Forecasts Surge in AI-powered Public Services

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At least 80% of governments will deploy artificial intelligence (AI) agents to automate routine decision-making, enhancing efficiency and service delivery by 2028.

This is according to market research firm Gartner, which highlights a growing shift toward digital governance, where AI-powered systems will increasingly handle repetitive administrative tasks, such as processing applications, managing public records and responding to citizen queries.

“Government chief information officers are under growing pressure to embed AI into decision-making capabilities rapidly and responsibly,” says Daniel Nieto, senior director analyst at Gartner. “The rise of multimodal AI, alongside conversational and agentic systems, has expanded what public organisations can automate, understand and anticipate.”

The Gartner report comes as South Africa is moving to embed AI into public administration, with early use cases emerging across service delivery, disaster response and internal operations, even as full-scale deployment of autonomous “AI agents” remains some years away.

The country’s National AI Policy Framework, released in 2024, has set the direction for adoption, with a comprehensive national policy expected by 2027.

Implementation is likely to follow from 2027 onwards, positioning the country for a more structured and regulated rollout of advanced AI systems across departments.

While South Africa has yet to deploy AI agents at scale, government and research initiatives indicate that agent-like systems are already taking shape.

Global use cases

Globally, governments are rapidly deploying AI agents to automate public services and internal operations, shifting from simple chatbots to systems that can execute tasks and coordinate workflows.

In the US, federal and city agencies are using AI agents to handle citizen queries, draft documents and manage call centres, while in China, autonomous systems are being integrated into administrative processes and urban management.

European governments are piloting AI-driven tools in policing and public service delivery, and in emerging markets, agentic platforms are being used to improve disaster response, financial inclusion and digital identity systems.

However, Gartner notes that fragmentation is one of the most persistent barriers to AI value in government.

According to a Gartner survey of 138 respondents from government organisations worldwide between July and September 2025, 41% of respondents cited siloed strategies and 31% cited legacy systems as key challenges to adopting and implementing digital solutions.

“Technology modernisation alone has not resolved these issues,” says Nieto.

The market analyst firm says as AI transitions from experimentation to being deeply embedded in decision-making, governance approaches must also evolve. It points out that traditionally, AI governance has centred on managing models, data and algorithms.

However, it states that decision intelligence (DI) shifts this focus towards the governance of decisions themselves; for example, on how they are designed, executed, monitored and audited. This shift in governance is especially critical in government, where public legitimacy relies on transparency and fairness, the firm explains.

Measurable impact

The Gartner survey found that 39% of respondents cited improved service and citizen satisfaction as primary reasons to invest in building citizen trust.

The firm notes that DI offers a structural foundation for operationalising this trust by making decision pathways explicit and auditable.

“By governing decisions, rather than just isolated AI components, governments can better balance automation with human judgement, particularly in high-stakes or rights-impacting contexts,” says Nieto. “Regulated industries and governments cannot rely on opaque ‘black box’ systems for consequential decisions. DI elevates explainability from a technical requirement to a governance imperative.”

Because of the need for transparency in decision-making, Gartner predicts that by 2029, 70% of government agencies will require explainable AI (XAI) and human-in-the-loop (HITL) mechanisms for all automated decisions that impact citizen service delivery.

Gartner explains that XAI and HITL designs are foundational to public-sector DI. These mechanisms ensure decision logic can be inspected, explained and challenged. Because of XAI and HITL, humans also retain authority over exceptions, appeals and high-risk cases, and accountability is preserved even as automation increases, it adds.

While efficiency remains important, Gartner says citizen trust in government’s ability to provide effective services is becoming a key driver of digital transformation. Fifty percent of government respondents cited improved citizen experience as one of their top three priorities.

“As AI and decision intelligence increasingly automate and streamline service delivery, the traditional notion of ‘citizen experience’ evolves,” says Nieto.

“When citizens receive what they need from the government automatically, direct interactions may decrease, making trust in the system’s reliability, fairness and transparency even more critical. Because trust is so imperative in these situations, the predictive capacity to anticipate potential needs could reshape how government digital services are delivered.”

 


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Telegram’s Massive Crackdown Fails to Curb Cybercrime Hubs

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Telegram has unleashed its most sweeping enforcement campaign yet in 2026, deleting millions of illicit channels and groups while boosting daily takedowns from 10,000 to 140,000—with peaks surging past 500,000 in a single day—yet cybercriminal ecosystems remain stubbornly resilient, rapidly reorganising and exploiting the platform’s scale to sustain operations undeterred.

Telegram’s Massive Crackdown Fails to Curb Cybercrime Hubs

Telegram

The paradox is stark: despite blocking over 43.5 million channels in 2025 alone and achieving record transparency in moderation reports, the threat landscape shows no contraction, as fraudsters deploy sophisticated evasion tactics like pre-built backup channels, “Request to Join” gating to thwart bots, bio disclaimers tagging Telegram leadership for plausible deniability, and floods of forwarded messages that preserve criminal knowledge even after originals vanish.

Check Point Exposure Management data reveals 20 percent of removals targeted business-impacting crimes—carding, Fullz trading, hacking services—with communities often reloading audiences instantly from preloaded backups, ensuring operational continuity amid the friction.

For Nigeria, home to Africa’s largest Telegram user base of eight million aged 16-64 per Statista, the stakes are acute: the platform dominates crypto trading, mining schemes, online betting, and gambling hubs, leaving traders, youth, and startups vulnerable to scams that evolve faster than platform defenses.

Kingsley Oseghale, Check Point Software Technologies’ West Africa country manager, warns that “enforcement is real and growing, but criminals adapt quicker—security teams must hunt entire networks, not just channels, via continuous exposure management to dismantle operations at the root.”

Migration to rivals like Discord (just 6% of underground invite links), Signal, SimpleX, or Matrix remains negligible—3 million Telegram invites circulated underground in three months alone—proving its 800 million users, speed, anonymity, and network effects keep it the premier broadcast, recruitment, and marketplace layer, even as high-profile groups like AKULA tested alternatives before reverting.

Spikes in forwarded content during February-April 2025 peaks extended fraud data lifecycles, mirroring broader cybercrime redundancy where attackers assume disruption and build in failover.

This persistence demands proactive vigilance: SOC teams ignoring Telegram risk blind spots in brand protection and threat detection, as evasion now standardises across underground forums—underscoring that while Telegram’s crackdown marks progress, true eradication hinges on intelligence beyond takedowns.


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