African-language focus
Dedicated work on speech data, pronunciation, dialects, code-switching and native-language evaluation.
Investor overview Development stage
Hatek-Lingua AI is building multilingual video localisation software.
The product is designed to translate spoken video, generate target-language speech and synchronise visible mouth movement with the translated audio. The planned language programme targets 100+ languages, including 50 African languages.
100+target languages
50+African languages planned
R&Dcurrent product stage
Problem
Video localisation is expensive and fragmented.
Producing one video in several languages can require separate translation, voice, audio, editing and review workflows.
Hatek-Lingua AI is intended to reduce that operational complexity by combining the major steps in one system. The opportunity spans media, education, creators, enterprise training, broadcasting and public communication.
Competitive differentiation
The focus is on African-language depth and an integrated audiovisual workflow.
The product is not differentiated simply by stating a high language count. The development strategy is centred on the underlying assets and evaluation required to make difficult language pairs and real video conditions work reliably.
Integrated workflow
Translation, generated speech and visual speech synchronisation are designed as one product flow.
Evaluation
Language and audiovisual quality are treated as measurable product requirements, not only demo quality.
Reusable language assets
Curated speech, translation and evaluation resources can improve future model development.
Commercial use
Several customer groups can use the same underlying technology.
Potential commercial models include usage-based video processing, enterprise contracts, API access and structured pilot projects. Pricing will depend on validated processing cost, quality and customer workflow requirements.
Media
Localise finished video for new audiences.
Education
Translate teaching and training libraries.
Enterprise
Localise internal and customer-facing video.
API
Allow platforms to integrate localisation into existing workflows.
Creators
Publish additional language versions of existing videos.
Public communication
Deliver verified video messages in multiple languages.
Development milestones
The near-term objective is to turn the technical concept into measurable product evidence.
Important milestones include model quality, end-to-end integration, native-language evaluation and pilot performance on real video workflows.
Language data and model researchCurrent
Speech and translation evaluationCurrent
Integrated audiovisual prototypeNext
Native-language and video validationNext
Private customer pilotsPlanned
Funding use
Capital would support the work needed to reach validated pilots.
The main areas are model development, language data, engineering, compute, evaluation, safety and pilot execution.
Model developmentTraining, adaptation, benchmarking and inference optimisation.
Language dataCollection, cleaning, rights management and native-speaker validation.
EngineeringBuilding the end-to-end video workflow, review tools and infrastructure.
ComputeGPU resources for training, testing and serving speech, language and video models.
PilotsTesting defined customer workflows and measuring quality, turnaround and value.
Founding team
Shola Fatusin, Founder · Kaori Fatusin, Co-founder
The current founding team is building the company and the product through the research and validation stage.