Language Learning App Development Company

We build lesson sequencing engines that track learner performance at the item level, across vocabulary, grammar, reading, and listening, and select the next content item based on accuracy, response time, and error patterns. The engine is built to your pedagogical model: whether that is proficiency-band progression, topic-first sequencing, or a hybrid approach for mixed-level corporate cohorts.

Spaced repetition scheduling based on SM-2 or a custom interval algorithm surfaces vocabulary at the optimal review point for each learner rather than at a fixed calendar date. The scheduling parameters are configurable, so your content team can tune review density for high-priority exam vocabulary or low-frequency business terms.

Built for edtech startups building a differentiated learning product, corporate training providers replacing static course libraries, and language schools moving their curriculum to a digital adaptive format.

We integrate Google Cloud Speech-to-Text, Azure Cognitive Services Speech SDK, and specialist providers like SoapBox Labs to deliver real-time transcription and pronunciation assessment inside your app. On top of transcription, we build phoneme-level scoring, fluency analysis based on pace and pausing, and actionable feedback that tells the learner which sounds to correct, not just a pass-fail score.

The speech layer is calibrated for your target language and learner profile. Accent variation handling, background noise tolerance thresholds, and confidence score tuning are configured for the specific population using the app. Children's speech, non-native accents, and low-bandwidth conditions each require different calibration, and we scope that during discovery.

Built for language learning apps where pronunciation is a core learning objective, corporate English training providers, and edtech companies building a speak-first curriculum.

We build vocabulary and grammar review systems on spaced repetition algorithms that surface items at the interval most likely to consolidate long-term memory. The interval logic is implemented as a first-class system, not a static quiz scheduler, so each learner's review queue reflects their actual retention curve across every item they've encountered.

Content management for vocabulary systems includes bulk import from CSV or structured data sources, tagging by topic, difficulty, and grammar category, and learner-facing decks for self-study alongside system-generated review queues. Word frequency lists, CEFR-level tagging, and custom content libraries for specialist vocabulary are all configurable by your content team without a developer.

Built for language learning apps with large vocabulary curricula, exam preparation platforms, and corporate language training tools where learners need to acquire domain-specific business vocabulary quickly.

We build end-to-end tutor marketplace platforms covering tutor onboarding and profile management, learner-facing search and matching, calendar-based session booking with timezone handling, live video session delivery via Zoom SDK or Daily.co, and automated payout to tutors via Stripe Connect. The marketplace logic, matching rules, availability management, and commission structure, is built to your business model.

Session management covers booking confirmations, pre-session reminders, cancellation and rescheduling policies, and post-session review collection. Dispute handling, refund workflows, and tutor performance scoring run without manual case management. Reporting dashboards give marketplace operators visibility into session volume, tutor utilisation, and learner retention at the cohort level.

Built for tutoring marketplace operators replacing manual coordination, language schools adding live 1-on-1 sessions to a self-paced product, and corporate training providers building a managed tutor network.

We build learner-facing progress dashboards that show vocabulary acquisition, lesson streak data, skill-level progression across speaking, listening, reading, and writing, and time-to-goal projections based on current pace. The data surfaces at the learner level to keep individuals engaged and at the cohort level for instructors and training managers.

Corporate training dashboards give L&D managers visibility into completion rates, proficiency gains, and learner activity across teams and departments. Progress data exports to CSV or pushes via API to HRIS and LMS platforms. Completion certificates with CEFR level assessments are generated automatically and delivered to the learner's profile and the corporate training record.

Built for corporate language training providers, tutoring marketplace operators tracking learner outcomes, and edtech companies that need to demonstrate measurable learning gains to enterprise procurement teams.

We build the integration layer that lets enterprise buyers deploy your platform inside their existing systems. SAML 2.0 and OAuth SSO connect your app to identity providers including Okta, Azure Active Directory, and Google Workspace, so employees log in with their company credentials. SCORM 1.2 and xAPI content packages let you export lessons and completion data into any corporate LMS.

REST API webhooks push progress events, completion records, and proficiency scores into HRIS platforms like Workday, BambooHR, and SAP SuccessFactors. Multi-tenant architecture isolates each corporate client's data, admin permissions, and branding. Bulk user provisioning via SCIM handles roster changes without manual account management.

Built for language learning platforms entering enterprise sales, corporate training providers integrating with large employers' tech stacks, and edtech companies whose commercial growth depends on passing enterprise security and compliance reviews.