AI & Machine Learning

Adding real-time speech-to-speech translation to a live video platform comes down to one architecture decision: cascaded — speech-to-text (STT) → machine translation (MT) → text-to-speech (TTS), three separate models chained together — or end-to-end speech-to-speech (S2S), a single model that takes audio in one language and emits translated audio, with no intermediate text step. Get it wrong and […]

A real-time AI development company builds AI systems that run inside a live, low-latency media stream — a voice agent that holds a phone call, AI analysis of a live video feed, on-the-fly translation of a video consultation — as opposed to AI that processes data asynchronously, like a chatbot answering typed text, an offline document pipeline, […]

AI document processing for FinTech is the use of custom OCR, natural language processing, and machine learning to turn unstructured financial documents — bank statements, leasing contracts, loan applications, KYC files — into structured, decision-grade data that underwriting, risk, and compliance teams can act on with confidence. It goes further than generic OCR, which reads […]

Running a voice AI platform in production means paying for five things every call touches: the WebRTC/SFU transport layer that carries the audio, speech-to-text (STT), the LLM that decides what to say, text-to-speech (TTS), and the hosting, bandwidth, and observability underneath all of it. Most public cost breakdowns only price the AI components and quietly […]

By Stan Reshetnyk, CTO, Trembit — HIPAA/KBV-compliant telemedicine architecture and real-time AI integration · Last updated 15 July 2026 An AI clinical scribe is ambient software that listens to a clinician–patient conversation during a visit and drafts a structured clinical note — a SOAP note, an assessment, a problem list — instead of just a […]

A voice AI agent on WebRTC is a real-time pipeline — audio capture, speech processing (either a cascaded STT → LLM → TTS chain or a native speech-to-speech model), and audio playback — running inside a live WebRTC media session. What decides whether it “feels like a conversation” is not the model. It’s the transport […]

An honest look at what AI agents reliably automate for businesses today — and where the hype outruns reality. No vendor spin.

A step-by-step playbook for building an AI admin co-worker: automate back-office tasks with human-in-the-loop checkpoints, guardrails, and audit trails.

By the Trembit Engineering Team · Last updated: 2026-07-08 An AI orchestration engine is the production layer that sits between your application and its models. It routes each request to the right model, handles fallback and retries when one fails, manages the RAG and context pipeline, coordinates multi-step and multi-agent workflows, enforces guardrails, and gives […]

AI in healthcare in 2026: what’s production-ready (scribes, imaging triage, admin automation) vs. still hype, and how to integrate it safely.

A real-time AI content moderation pipeline is the combination of three things: extracting frames and audio from a live media stream, running AI inference on them, and returning an enforcement action — mute, kick, flag, or blur — back to the session fast enough that harmful content never reaches viewers. The central engineering decision is where […]

The Reality of Real-Time Moderation for Dating and Social Platforms Live video has transformed social and dating platforms, creating opportunities for authentic connection and engagement. However, it has also opened new vectors for abuse, harassment, and inappropriate content. The promise of AI-powered moderation suggests a simple solution: deploy computer vision models to automatically detect and […]

Real-time communication demands split-second responsiveness. A video call feels natural when latency stays below 300 milliseconds. Exceed 500 milliseconds, and conversations become awkward — speakers talk over each other, pauses feel unnatural, and engagement drops. These tight latency constraints created a problem when generative AI entered the picture. The OpenAI Realtime API’s WebRTC integration enables […]

The conventional wisdom in video streaming has been straightforward: better quality requires better codecs. AV1 promised 30-40% bandwidth savings over H.264, and the industry has invested billions in making it a reality. GPU manufacturers added hardware support, browsers implemented decoders, and platforms began migrations. Yet in 2026, a different approach is reshaping video optimization — […]

The convergence of WebRTC and AI promised revolutionary real-time experiences. Voice agents respond in milliseconds. Video streams enhanced by neural networks. Intelligent routing adapts to network conditions in real time. Yet across production deployments in 2025, engineering teams encounter the same failure patterns repeatedly. Systems that work brilliantly in demos collapse under real load. Latency […]

Video conferencing architecture spent a decade optimizing for one assumption: every participant is human. SFU routing, session management, and resource allocation all evolved around this human-centric model. Then AI participants arrived, and the architectural foundations cracked. AI agents don’t behave like humans. They stay connected for hours without breaks. They process audio in milliseconds. They […]

Every industry has a moment when the old way of doing things becomes outdated. For QA, that moment is now — and AI-powered QA testing is what’s replacing it. For years, quality assurance operated on a simple model: more testing equals more quality. Measure it in hours. Bill it in hours. Report it in hours. […]

Most telehealth platforms begin with a focused product vision, typically centered on video consultations, patient scheduling, and clinical documentation. Then reality hits. The hospital network wants FHIR-based EHR integration. The enterprise clinic operates a Practice Management System that does not allow for negotiation of its data model. The sales team needs patient interactions to flow […]

The pitch for AI in telehealth is compelling: real-time transcription that auto-populates clinical notes, live translation that eliminates language barriers between patients and practitioners, and ambient AI that detects medication names and flags potential interactions mid-call. Investors love it. Product roadmaps are full of it. The production reality is more complicated. Teams that have shipped […]

Telehealth platforms have solved the “video visit” problem. Most can reliably connect a patient and a clinician over a stable video stream. However, the industry’s next frontier isn’t about call quality — it’s about what happens during the call. Voice AI agents are now capable of joining a live telehealth session, listening in real-time, generating […]