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RTP Agency Review 2026

AI engineering and business process automation · Video pipelines, Telegram bots, CRM, infrastructure · Worldwide

RTP Agency is an AI engineering studio that automates business processes, and the way it draws the line is worth quoting: development for a task, not AI consulting in general. What that means in practice is bespoke systems, built to order and handed over working. Inbound requests, customer replies, content, documents and reports get automated inside the tools a team already uses, which is a far less disruptive proposition than asking everyone to move somewhere new.

The studio publishes six case studies in full, each with the architecture, the stack and the numbers that came out the other side. Engagements begin with a free 30-minute diagnostic: the team looks for the process with the most automation potential, puts figures on the time and money it could return, and lays out where to start. Communication runs in Russian, and the work itself is delivered worldwide.

At a glance

6
Service lines
6
Published cases
10+
Systems in production
Free, 30 min
First consultation

The studio also reports more than $30,000 saved for clients over a year, and cost reductions above 99% on individual processes compared with manual work or off-the-shelf services.

What RTP Agency builds

Six service lines, listed the way the studio groups them. Most projects end up combining two or three.

Video and creatives at scale

Video uniquification through FFmpeg with 68+ methods, AI lip-sync for ad creatives, motion control and clip animation, and bulk generation of creative variations for split tests.

Telegram automation

Bots for sales funnels and lead warming, scheduled content pipelines with AI-generated copy and media, a CRM that lives inside Telegram, and integrations with payment providers, trackers and webhooks.

CRM and integrations

Custom CRMs shaped around one specific process rather than boxed products, wired through to Telegram, ad cabinets and trackers, with dashboards and alerts on business metrics.

Sites and landing pages

Landing pages and prelanders with tracking already wired in (Keitaro and similar), SPA and SSR sites built for SEO, and multi-region storefronts including Shopify.

Infrastructure and scaling

Docker infrastructure across several servers, CI/CD, monitoring and automatic scaling under load, plus migration from costly proprietary AI services onto an open-source stack.

Custom automation

Multi-agent AI systems for the tasks that do not fit a template, parsing and data aggregation, automated reporting, and any code-plus-AI pipeline built around how a team actually works.

Running through several of these is one recurring move: taking work off expensive proprietary AI services and putting it on a self-hosted open-source stack, where the savings land somewhere between 84% and 99%. The team also packages the offer in plainer terms for smaller businesses, as an assistant that answers customers around the clock and qualifies inbound requests, a content and paperwork line that runs by itself, and a digital colleague plugged into the CRM, the spreadsheets and Telegram.

Selected work

Here are six systems the studio has shipped, with the architecture and the outcome as published.

01

Autonomous content system for Threads

Private German-language tutor

The system ranks the account's own formats by reach, builds a voice profile of the author through few-shot vector search, generates copy alongside realistic POV visuals, runs drafts past an LLM-as-judge, and sends cards to a Telegram bot for one-tap approval before publishing on schedule through the Threads Graph API.

770,000 views and 35,000 likes on a single post, the account's top post; running in production.

02

Black Camel Productions video editing pipeline

London video agency, educational content

Delivered as a managed service: the client sends raw recordings in batches and receives finished video in the house style. The pipeline reproduces their editing standard from the original Premiere presets down to the pixel, removes toolbars and interface chrome, masks page breaks, reframes the screen and enlarges the presenter bubble, then cleans the audio with voice-activity detection, filler-word and breath removal.

Roughly an hour of manual editing per video down to about three minutes of processing; 25+ videos handled in batches; render time roughly halved on Apple Silicon.

03

Metra AI, a production SaaS

metra-ai.org, built end to end

A Telegram content automation product with AI post generation that holds the brand voice and channel lore, a scheduler with reusable weekly presets, real-time data for news content, a built-in Telegram CRM for leads, and multi-operator infrastructure for agencies. Under it sits a multi-stage LLM orchestration: structure parser, paragraph rewriter, styling pass, then a validator against the channel rules.

Three months from build to launch, 16 Docker containers in production, first paying users in week one, 25 scheduled posts a day per channel on the paid plan.

04

Open-source lip-sync system

Motion design agency, ad creatives

A premium video AI API was replaced with a self-hosted ComfyUI workflow on Infinity Talk, built on Wan 2.1. The interface is a Telegram bot backed by a local Bot API server so large media files pass through cleanly, with workflow orchestration, polling and webhook integration with GPU providers, and a reusable Docker template. Both photo-to-video and video-to-video modes ship.

99%+ cost reduction against the proprietary API, six months of continuous production use, three paid commercial deployments, infrastructure now at $15 a month.

05

Motion control workflow

Digital content agency, high monthly clip volume

A custom ComfyUI workflow on the open-source Wan 2.2 model, replacing premium motion-control services. Character segmentation runs automatically instead of frame-by-frame masking, with an upscaling sub-workflow, 30fps to 60fps frame interpolation, and parallel processing spread across several API keys.

From $1.20 to $0.19 per video, 84% off the previous line item, around $12,000 saved per client per year, and no 30-second cap on clip length.

06

Multi-model video localization pipeline

Media localization agency

Two stages. First the library fills up: video URLs arrive in batches through a Telegram bot, scenes are segmented by detection, embedded through Vertex AI and stored in a self-hosted Qdrant. Then generation runs FFmpeg to Whisper Large to Gemini for the rewritten and translated script, multilingual TTS for voice, embedding-matched footage from the library, and FFmpeg again to assemble music, sound, subtitles and the finished file back into Telegram.

Under $1 for a 20-minute video, four or more AI services in one orchestration, roughly two clips an hour, three months in active production.

RTP Agency are indispensable when you need complex AI workflows for images and video assembled. Always reachable and they solve things fast.

Daniel, digital media agency owner

Any question about AI or engineering has been solved. They consistently find cheaper options for our tasks. Recommended.

Mark, content production agency owner

RTP helped us with a pile of automation work. They take initiative, quote the work honestly and fix issues even after handover, at no extra cost.

Yappi Agency, creative design studio

How the systems are engineered

The pattern across the published work is a task broken into specialised stages rather than handed to a single model call. A structure parser feeds a rewriter, which feeds a styling pass, which feeds a validator, and an LLM sitting as judge checks the draft before anything reaches a person. The model layer is deliberately provider-agnostic, mixing OpenAI, Grok, Anthropic, Gemini and Vertex AI so each stage can use whichever model suits it, and so the economics can be revisited when the market moves.

Telegram is the studio’s default interface. Tasks go in through a bot, approvals come back with one tap, results land in the chat, and a local Bot API server handles media beyond the standard limits. That choice sits alongside a wider principle visible in the case studies: a human stays in the loop by default, with automation doing the heavy first pass and a person signing off, whether that is approving a post or confirming an edit.

Underneath it is ordinary production engineering rather than notebook demos. Docker and Docker Compose, CI/CD, several Ubuntu servers behind Nginx, autoscaling under load, and monitoring through Prometheus, Grafana, Sentry and Uptime Kuma. Sensitive data is encrypted with salt and pepper and GPU-resistant hashing with decryption keys held off the server, sessions are protected by 2FA, JWT rotation and fingerprinting. A reusable Docker deployment template means a new pipeline goes from config to deployed in minutes, and the team publishes technical write-ups of its implementations with an open GitHub profile alongside.

How a project starts

The entry point is the free 30-minute diagnostic, described as no-obligation and free of any sales push. You come away with the process worth automating first, an estimate of the time and money it stands to return, and a plan for the first step. From there, work is quoted per process, since a one-bot funnel and a multi-server media pipeline are not the same job and a single price list could never represent both honestly.

Delivery leans towards the turnkey end. On the Black Camel project the arrangement is a managed service: raw material goes in, finished video comes back, and the client never touches the pipeline. Clients note that the team stays reachable, and one of them describes honest estimates and fixes made after handover at no extra charge. Getting in touch is straightforward through Telegram at @rtp_agency, by email at solutions@rtp-agency.com, or through the short form on the site asking your name, your niche, the process you want automated and how you prefer to be contacted.

Who it is for

Media, content and creative agencies producing video and creatives on a conveyor

Performance marketing teams running split tests on creative volume

Telegram channel owners and content teams

Agencies running many accounts or channels that need multi-account CRM and role-based access

Fintech and bot platforms that need multi-tenancy and client isolation

Small and mid-sized businesses automating inbound requests, replies, documents and reporting

B2B teams building AI outreach and lead aggregation

RTP Agency + PROXIES.SX = automation plus a clean network layer

Automation that touches many accounts or gathers data at volume eventually meets the network. Multi-account Telegram tooling, creative variations pushed into split tests across ad accounts, lead aggregation and parsing all run better from addresses that read as ordinary traffic. proxies.sx 4G/5G mobile and residential proxies give each profile or worker a carrier-grade IP of its own rather than a shared datacenter range, so the automation layer and the network layer stay independent.

RTP Agency

Automation layer - pipelines, bots, CRM and AI systems built around your process.

PROXIES.SX

Network layer - a 4G/5G mobile or residential IP per profile or worker instead of a datacenter range.

Antidetect browser

Fingerprint layer - AdsPower or GoLogin, one profile per account.

PROXIES.SX pricing →

FAQ

What does RTP Agency do?

RTP Agency is an AI engineering studio focused on business process automation. Rather than general AI consulting, the team builds specific systems end to end: video and creative pipelines, Telegram bots and CRMs, custom integrations, landing pages, production infrastructure and multi-agent AI systems. Their own framing is development for a task, not advice about the category.

What kinds of projects have they shipped?

Six case studies are published on the site: an autonomous Threads content system, an automated video editing pipeline for a London video agency, a production SaaS for Telegram content automation, a self-hosted lip-sync system, a motion control workflow, and a multi-model video localization pipeline. Alongside those sit AI Reels pipelines, a Telegram CRM infrastructure, a B2B AI outreach pipeline, a multi-tenant bot platform for fintech, an FFmpeg media processing tool and a payments integration covering Stripe, PayPal and CryptoCloud.

How much does a project cost?

Cost depends on the process being automated, so it is quoted per project rather than from a price list. The starting point is a free 30-minute diagnostic with no obligation: the team identifies the process with the most automation potential, puts numbers on the time and money it could save, and gives a plan for where to begin.

Do they replace paid AI services with open source?

That is one of the studio's specialities. Several of the published cases move work off premium proprietary APIs onto self-hosted open-source stacks such as ComfyUI, Wan 2.1 and 2.2, Infinity Talk, Whisper and Qdrant, with reported savings between 84% and 99%. On the lip-sync project the client's infrastructure bill came down to $15 a month.

How do you get in touch?

Through the site at rtp-agency.com, the Telegram contact @rtp_agency, or email at solutions@rtp-agency.com. The contact form asks for your name, your business or niche, the process you want automated and your preferred channel. The team also maintains a public GitHub profile.

Who is RTP Agency a good fit for?

Media, content and creative agencies producing video at volume, performance marketing teams that burn through creative variations, Telegram channel owners, agencies juggling many accounts, fintech bot platforms needing tenant isolation, and smaller businesses automating inbound requests, replies, documents and reporting.

How does RTP Agency fit with PROXIES.SX?

RTP Agency builds the automation: creative pipelines, multi-account Telegram tooling, data aggregation and outreach systems. Anything that touches many accounts or collects data at volume also needs a network layer, and PROXIES.SX 4G/5G mobile and residential proxies give each profile or worker a carrier-grade IP instead of a datacenter range, so the automation layer and the network layer stay independent.

Why teams keep RTP Agency on the roster

The appeal here is concrete work. Six case studies show the same instinct each time: find the step a team repeats by hand or overpays an API for, rebuild it as a pipeline that a person still signs off on, and run it on infrastructure that is monitored, encrypted and deployable again next month. An hour of editing becomes three minutes, a dollar-twenty per clip becomes nineteen cents, a premium API bill becomes fifteen dollars a month, and a Threads post reaches 770,000 people. With 10+ systems in production across client teams, a free half-hour diagnostic to start and pricing worked out per process, it is an easy first conversation to have. Pair the pipelines with proxies.sx 4G/5G mobile proxies and an antidetect browser, and the automation, the browser and the network each do their own job.

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