Creation workflow
An integrated video localisation workspace.
Source media, languages, voice configuration, subtitles, lip synchronisation and export settings are managed together.
Investor overview Managed access
Hatek Lingua AI is an operating multilingual video localisation product with managed customer and partner access.
The product runs an end-to-end workflow for translating spoken video, generating target-language speech and synchronising visible mouth movement with translated audio. Its language programme spans 100+ languages, including 50+ African languages, and commercial access is managed directly with customers and partners.
100+languages across the programme
50+African languages in the programme
Managed accesscommercial access model
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 reduces that workflow complexity by combining the major steps in one system. The opportunity spans media, education, creators, enterprise training, broadcasting and public communication.
Product evidence
Managed access already covers both localisation workflows and ongoing project management.
The product is designed around repeatable customer work: ingest content, configure localisation, generate output, review it and keep the resulting projects organised.
Operational workflow
A project layer for managing repeated localisation work.
The product tracks project type, language combinations, status, progress and recent activity across localisation jobs.
Customer and partner access is managed directly while the platform expands across languages and workflows.
Competitive differentiation
The focus is on African-language depth and an integrated audiovisual workflow.
The product strategy combines African-language depth, reusable language assets, native-language expertise and an integrated audiovisual workflow.
African-language focus
Dedicated work on speech data, pronunciation, dialects, code-switching and native-language review.
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 across the workflow.
Reusable language intelligence
Curated speech, translation and evaluation resources strengthen language performance across the platform.
Commercial use
Several customer groups can use the same underlying technology.
Commercial models include usage-based video processing, enterprise contracts, API access and managed localisation engagements. Pricing can be structured around processing volume, workflow requirements and service level.
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.
Growth priorities
Growth priorities focus on expanding language coverage, customer adoption, infrastructure capacity and repeatable localisation workflows.
Key priorities include language quality, end-to-end reliability, native-language expertise, customer adoption and scalable video processing.
Language intelligenceAvailable
Speech and translation qualityAvailable
Integrated audiovisual workflowWorking
Native-language reviewAvailable
Customer deploymentsExpanding
Use of capital
Capital would support language expansion, model performance, engineering, compute infrastructure, customer acquisition and commercial scale.
The main areas are model development, language data, engineering, compute, quality, safety and go-to-market 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, benchmarking and serving speech, language and video models.
Go-to-marketCustomer onboarding, partnerships, sales and repeatable commercial localisation workflows.
Founding team
Shola Fatusin, Founder · Kaori Fatusin, Co-founder
The founding team is building Hatek Lingua AI across product, language technology, partnerships and commercial growth.