R&D Engineering Services

R&D Services That Turn “Is This Even Possible?” Into Working Prototypes.

We help companies explore emerging technologies, validate technical hypotheses, and build proof-of-concepts that de-risk product decisions. From WebRTC experiments to AI integration — our R&D team makes the unknown buildable.

50+ R&D projects completed
10+ Years of engineering
WebRTC + AI Core expertise
PoC to Product Full lifecycle
R&D Services That Turn "Is This Even Possible?" Into Working Prototypes.

Trusted by Innovation Teams Worldwide

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  • webPRAX logo
  • Sirius logo
  • Pedestal logo
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Sound Familiar?

You have an innovative idea but no team with the technical depth to validate it.

Your internal team is great at maintaining the product, but exploring WebRTC, AI, or edge computing requires specialists you don’t have. Hiring for a 2-month experiment doesn’t make sense.

Your R&D experiments take 6 months and still don't answer the core question.

Your team built a proof-of-concept that proved the technology works in isolation — but didn’t answer whether it works at scale, integrates with your stack, or meets your performance requirements.

You need to evaluate a new technology but can't afford to bet your roadmap on it.

Should you use WebRTC or a third-party SDK? Build the ML model in-house or use an API? Every technology decision has months of consequences. You need data, not opinions.

Your team is split between maintaining the product and exploring new capabilities.

Innovation projects keep getting deprioritized because production bugs and feature requests consume all engineering bandwidth. Your R&D backlog grows while competitors ship new capabilities.

You need to integrate AI/ML but don't know where it actually adds value vs. hype.

Everyone says “add AI.” But which problems in your product actually benefit from machine learning? You need someone who can separate genuine AI opportunities from marketing hype.

Your board wants innovation but won't fund a team until you prove the concept works.

You need a working prototype to unlock the next round of funding or board approval. But you can’t build a prototype without funding. A focused PoC breaks this chicken-and-egg problem.

The Cost of Not Innovating

52% of Fortune 500 companies from 2000 no longer exist. The ones that survived invested in R&D before they needed to. Proof-of-concept development isn’t a luxury — it’s survival.

These aren’t edge cases. They’re the exact situations innovation teams bring to us — usually when they need answers fast and can’t afford to guess.

R&D Services

Proof of Concept Development

For teams validating a technical hypothesis before committing.

We build focused PoCs in 4-8 weeks that answer specific technical questions — can this technology handle our scale? Does it integrate with our stack? Is the performance acceptable?

  • Working proof-of-concept in 4-8 weeks
  • Technical feasibility report with benchmarks
  • Architecture recommendation for production path
  • Go/no-go decision backed by real data

Technology Evaluation & Prototyping

For teams evaluating emerging tech (AI, WebRTC, blockchain, IoT).

We prototype with the actual technology to measure real-world performance, integration complexity, and total cost of ownership — not just read the vendor’s marketing page.

  • Side-by-side technology comparison with benchmarks
  • Performance testing on real hardware and data
  • Integration complexity and effort assessment
  • Build-vs-buy recommendation with cost analysis

MVP Development

For teams taking a validated concept to first users.

We build minimum viable products designed to test market hypotheses — not throwaway prototypes, but scalable foundations that become your real product when the market validates.

  • Deployable MVP in 3-4 months
  • Analytics-instrumented for hypothesis testing
  • Scalable architecture (not throwaway code)
  • Investor-ready demo and documentation

Our R&D Process

1
Week 1

Problem Definition

Define the hypothesis, success criteria, constraints, and scope. We make sure we’re answering the right question before building anything.

2
Week 1-2

Research & Architecture

Technology evaluation, architecture design, risk assessment. We map the technical landscape and design the fastest path to answers.

3
Week 2-6

Rapid Prototyping

Build in 1-week sprints with weekly demos and pivots. You see progress every week and can change direction based on what we discover.

4
Week 6-7

Testing & Validation

Performance testing, user testing, feasibility assessment. We stress-test the prototype to answer the questions that matter for production.

5
Week 7-8

Results & Recommendation

Technical report, go/no-go recommendation, production architecture roadmap. You get a clear answer with the data to back it up.

6
Optional

MVP Build

If the PoC validates, we transition directly to production-grade MVP development. Same team, no knowledge loss, no re-architecture.

R&D Technology Focus

We specialize in emerging and complex technologies that require deep research before production commitment.

Real-Time Communication

WebRTC Socket.io mediasoup Janus LiveKit Twilio

AI & Machine Learning

OpenAI API TensorFlow PyTorch Hugging Face LangChain Whisper

Computer Vision

MediaPipe OpenCV TensorFlow.js ONNX Runtime Core ML ML Kit

Edge & IoT

Raspberry Pi Arduino MQTT Edge Computing WebAssembly Rust

Blockchain & Web3

Solidity Ethers.js IPFS Smart Contracts Polygon Chainlink

Data & Analytics

Apache Kafka Elasticsearch ClickHouse Apache Spark Grafana TimescaleDB

R&D Projects We've Delivered

Real experiments. Real prototypes. Real answers.

WebRTC Video Infrastructure R&D

Trembit Internal R&D

Challenge: Research and prototype a scalable selective forwarding unit (SFU) architecture supporting 200+ participants with adaptive bitrate and simulcast.

  • SFU prototype handling 200+ simultaneous streams
  • 40% bandwidth reduction via simulcast implementation
  • Sub-200ms connection establishment time
  • Architecture adopted for production video platform
WebRTC SFU Simulcast Real-Time

AI-Powered Content Moderation PoC

Video Platform Client USA

Challenge: Build proof-of-concept for real-time AI content moderation in live video streams using computer vision and machine learning.

  • Real-time moderation processing at 30fps video
  • 95% accuracy on harmful content detection
  • Processing latency under 100ms per frame
  • Reduced manual moderation workload by 80%
AI Computer Vision Real-Time Safety

Voice AI Assistant Prototype

Healthcare Startup USA

Challenge: Prototype a conversational AI assistant using speech-to-text, LLM processing, and text-to-speech for a HIPAA-compliant healthcare application.

  • End-to-end voice interaction in under 2 seconds
  • HIPAA-compliant data handling architecture
  • Integration with existing patient records system
  • Investor demo securing $2M seed round
AI Voice Healthcare LLM

What Our Clients Say

They know the inner workings of the tech and were able to inherit our semi-functional code and get it to work where multiple prior teams couldn’t.

Whitney Kramer Founder, Meetaway

Trembit are developing our Adobe Air SDK for the last 3 years. The team is always responsive and helpful when we need their help and expertise.

Client Adobe AIR SDK Project

The Trembit team demonstrated deep expertise in real-time communication and delivered a scalable video infrastructure that handles thousands of concurrent streams.

Client Video Platform Project
50+ R&D projects delivered
4-8 Wk Avg PoC timeline
10+ Years in business
85% PoC to production rate

Why Choose Trembit for R&D?

  • 50+ R&D projects delivered

    Deep Technical Expertise

    From WebRTC SFU architecture to AI content moderation to voice assistants — our R&D team has explored and productionized technologies that most agencies won’t touch.

  • 85% PoC to production rate

    Prototypes That Ship

    85% of our proof-of-concepts graduate to production products. We don’t build throwaway demos — we build foundations that scale.

  • 4-8 Wk Avg PoC timeline

    Answers, Fast

    Most R&D projects deliver a working prototype and feasibility report within 4-8 weeks. You get data to make decisions, not months of research with no output.

  • 10+ Years of R&D experience

    Battle-Tested Team

    Our R&D engineers have shipped production systems using WebRTC, AI/ML, computer vision, and real-time data processing. They’ve seen what works and what doesn’t.

R&D Engagement Models

Proof of Concept Sprint

A focused 4-8 week engagement to answer a specific technical question with a working prototype and feasibility report.

Best for: Validating a technology choice, testing a hypothesis, or building an investor demo.

Dedicated R&D Team

Engineers embedded in your innovation team for ongoing research, prototyping, and technology exploration.

Best for: Companies with continuous R&D needs, multiple experiments in parallel, or long-term innovation programs.

Technology Advisory

Expert consultation on technology selection, architecture decisions, and build-vs-buy analysis. No code — just answers.

Best for: CTOs evaluating options, teams planning technical strategy, or organizations assessing emerging technologies.

Frequently Asked Questions

Let’s Explore What’s Possible

Tell us about your R&D challenge and we’ll get back within 24 hours with an initial assessment and approach recommendation.

Whether you need a proof-of-concept, technology evaluation, or MVP development — we’ve turned 50+ “is this possible?” questions into working prototypes.

Typical response time: under 24 hours. All R&D conversations start with an NDA.

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