Engineering Expertise for Great Digital Products

From multi-platform applications and intuitive user interfaces to seamless media experiences — we provide the technical expertise to design and build reliable, scalable products across devices and industries.

More Than Implementation

Building complex applications across devices and platforms requires more than implementation. It requires the right combination of architecture, user experience, and deep technical expertise across all essential system components.
At TARA Systems, we combine these capabilities to support our customers in developing products that are scalable, maintainable, and ready for their market requirements.

Multi-Platform App Development

We design and build applications across a wide range of platforms – from embedded systems and mobile devices to TV environments.

Architecture & Technology Strategy
Selecting the right frameworks and system architecture based on product requirements and long-term goals.
Cross Platform & Native Development
Combining cross platform frameworks and native approaches to balance efficiency and performance.
Technology-Agnostic Engineering
We are not tied to specific technologies — we choose what fits your product best.
Testing & Quality Across Devices
Automated testing and CI/CD pipelines ensure stability in multi-platform environments.
Monitoring & Analytics Integration
Instrumentation for tracking system and user behavior, performance insights, and continuous improvement.

Supported Platforms

Technologies

UI & UX Development Across Devices

We design and implement user interfaces for complex applications across multiple device classes – from TV and mobile to embedded systems.

Device‑Specific Interaction Design
UX tailored to different input methods: remote control, voice control, touch, or physical buttons.
Cross‑Platform UI Consistency
Design systems and development approaches that ensure a consistent experience across platforms.
User-Centered UI Design
Interfaces designed for clarity, speed, and error reduction — especially in demanding environments.
Performance‑Aware GUI Development
Optimized user interfaces that run smoothly on constrained hardware, including dedicated tooling for MCUs and MPUs.
Prototyping & Collaboration
Early validation to align stakeholders and reduce rework.

Technologies

Accelerating UI Design and Development with AI

When creating modern user interfaces and seamless user experiences, we use AI-supported workflows that streamline design and development, enabling rapid prototyping, faster feedback loops, and a more efficient transition from concept to implementation.

AI-based UI design tools (e.g. Google Stitch, Flowstep, Visily, UX Pilot, Lovable, Figma AI, Claude Design)
Design tools with MCP integration (e.g. Figma)
Agentic AI development approaches (e.g. Claude Code)
UI implementation with cross-platform frameworks such as Flutter, React Native, and Compose Multiplatform, or Embedded Wizard for MCUs and MPUs

Example Use Case: Accelerating Design and Development with AI

Creating modern user interfaces and seamless user experiences often requires multiple design iterations, stakeholder reviews, and implementation cycles. AI-supported workflows help streamline this process, enabling rapid prototyping, faster feedback loops, and a more efficient transition from concept to implementation.

Challenge

Designing and implementing modern user interfaces is often time-consuming and involves multiple stakeholders, iterations, and technology decisions, which can increase project duration and cost.

Solution

AI-assisted design and development accelerate the entire process, provided it’s driven by experts. From requirements engineering through UX conception to UI implementation it is a perfect asset for the team. Interactive prototypes can be created early, enabling faster validation and more agile decision-making.

Our Expertise

We apply AI-powered workflows across the full UI/UX lifecycle —
supporting individual phases or the complete project. Our
services include design generation, code creation, technology
migration, and cross-platform implementation.

AI-based UI design tools (e.g. Google Stitch, Flowstep, Visily, UX Pilot, Lovable, Figma AI, Claude Design)
Design tools with MCP integration (e.g. Figma)
Agentic AI development approaches (e.g. Claude Code)
UI implementation with cross-platform frameworks such as Flutter, React Native, and Compose Multiplatform, or Embedded Wizard for MCUs and MPUs

Excellent Media Playback Across Platforms

We deliver high‑performance media playback and streaming solutions across devices and platforms – from embedded systems to operator‑grade TV environments.

Playback & Streaming Expertise
Deep knowledge of codecs, streaming formats, and adaptive playback.
DRM & Content Protection
Integration of Widevine, PlayReady, and FairPlay across platforms.
Performance Optimization
Startup time, buffering behavior, low-latency and playback stability under demanding conditions.
Playback Monitoring & Analytics
Ensuring consistent quality through diagnostics and real‑time insights.
Field‑Proven Experience
Solutions deployed on millions of devices in demanding production environments.

Our team has extensive experience hands-on with a wide range of players and frameworks, tailored to the unique needs of your project.

Our OTT/IPTV Media Player
Our high-performance native media player for DASH and HLS, built for native Linux platforms.
Application: Mainly used for TV and STB platforms where performance and resource management are critical.

ExoPlayer / AVPlayer
Native application-level media players for Android and iOS/tvOS respectively. Highly customizable and extensible.
Application: Building high-quality, feature-rich video streaming apps on mobile and TV devices.

Shaka Player / Dash.js
Open-source JavaScript libraries for adaptive bitrate streaming (DASH/HLS) in web browsers.
Application: Powering robust video playback in web applications and on platforms like Tizen and WebOS.

GStreamer
A powerful pipeline-based multimedia framework for creating custom media processing workflows.
Application: Used in embedded Linux systems, like NXP i.MX, for complex tasks like video conferencing, streaming servers, and camera integration.

FFmpeg
A complete, cross-platform solution to record, convert and stream audio and video.
Application: Media transcoding, format conversion, and as a base for many media players and editors.

WebRTC
Enables Real-Time Communication (RTC) in web browsers and mobile applications for peer-to-peer connections.
Application: Low-latency video chat, live broadcasting, and real-time data sharing applications like inspection cameras.

VLC
A highly versatile, open-source cross-platform multimedia player and framework that plays most multimedia formats.
Application: Prototyping, testing, and as a reliable playback engine in various custom applications.

Added Product Value by Applying AI Technology

We integrate AI into products where it creates value — across TV, mobile, and industrial systems — balancing performance, cost, usability, data privacy, and long-term maintainability.

End-to-End AI Integration
We integrate AI as part of the overall product — aligned with existing systems, workflows, and user interfaces.
Technology and Provider Agnostic Approach
We choose the right mix of cloud, on-premise, and on-device models based on your requirements.
System Integration & Data Connectivity
We connect AI models with backend systems, tools, and external data to enable automation and smarter workflows.
Performance & Cost Awareness
We evaluate when AI adds value — and when simpler solutions are more efficient.

Technologies

We integrate additional technologies as required to match your product architecture, performance constraints, and deployment environment.

Use Case: AI-Powered Content Discovery Through Conversation

As content libraries continue to grow, finding the right content becomes increasingly challenging. Conversational AI enables users to interact naturally with their TV and discover content through conversation rather than traditional keyword searches. This creates a more intuitive user experience and complements existing recommendation engines with personalized, context-aware content discovery.