Content Generation

We build one content pipeline: text, images, video, voice, localization and presentations for your brand.

AI content generation covers the whole production cycle: text, images, video, voice, localization and presentations in one brand style. We build the process from brief to publication, add editing and fact-checking, and track cost and metrics. Your team gets a working pipeline and a prompt library for every direction.

Pricing

from ₽1,500,000

per project

This is the lower bound of a project. We scope the exact quote after a brief: it depends on volume and the number of integrations.

Pilot

₽500,000

Implementation

from ₽1,500,000

Platform

from ₽3,500,000

What's included

Capabilities

Text

Articles, posts, newsletters, product descriptions and review replies in the brand voice.

Images

Covers, banners, illustrations and product scenes from one visual style.

Video

Script, storyboard, generated frames, voice-over and editing for platforms.

Voice and audio

Speech synthesis, voice cloning, podcasts and audio guides for your brand.

Localization

Translation and adaptation of texts, interfaces and video into new languages and markets.

Presentations

Slides, documents and pitch decks with structure, graphics and speaker notes.

How we implement

From task to launch

  1. 1

    Brief and audit

    We break down the tasks, channels and current materials. We fix the goals, brand tone and project metrics.

  2. 2

    Script and storyboard

    We design the structure of each format: story, composition and speech script. We prepare references and prompts.

  3. 3

    Generation

    We build drafts on models for the task: text, frames, voice, slides. We pick the best takes.

  4. 4

    Validation and editing

    We check facts, style and brand fit. An editor brings the material to publication quality.

  5. 5

    Post-production

    We finish the result: retouching, editing, sound, cropping and version assembly for platforms.

  6. 6

    Publication and metrics

    We release materials on schedule and gather metrics in a dashboard, so the effect shows in numbers.

Who it fits

Check if it fits you

Good fit

  • Regular content volumes

    Social posts, blog, mailings, video and product cards run on schedule. The pipeline removes team idle time.

  • Several markets and languages

    One set of materials translates and adapts to local markets in days, not weeks.

Not a fit

  • A hand-written expert tone

    A voice that defies templates. A model is useful as a draft, while the decision stays with the author.

  • Facts where mistakes cost

    Legal and financial information needs word-by-word checking. Automation here is risk, not savings.

Track record

What you get

×4

growth in weekly content volume

Generation of product card copy and social posts from prepared templates and the brand tone. The editor checks and adjusts the final, not writes from scratch.

−70%

time to a first draft

One brief, text and visuals for dozens of clients in a single pipeline. The team ships campaigns faster and keeps each brand on style.

Text

Text

Articles, posts and newsletters come from one brief and fan out to channels in the right format. Prompts hold the tone, terminology and structure, and an editor takes the text to publication. Product cards and review replies ship in the same style as the blog.

We describe the brand voice before launch: tone, wording and restrictions go into a guide and into prompts. A new hire starts from tested formulations, and texts do not drift in style between authors and channels.

Fact-checking is built into the process: figures, dates and names are checked against sources, not the model's memory. If there is no source, the claim does not make it into the text, and the rule works at any volume.

Volume grows without hiring: ten posts or a hundred cards a week count as one bulk price. The task queue absorbs the seasonal peak, and you pay only for the content actually generated.

Service texts stop waiting for months: descriptions, guides and objection replies are built in the same pipeline. Sales and support get materials on request, without long approvals.

Images

Images

Covers, banners and illustrations come from one visual style: we fix the palette, light and angle to the brand book. A cover series reads as one set, even when frames ship in batches every week.

We build product scenes and flat lays without renting a studio: a product on a background, textures and details. Catalog frames are finished in retouching and cropping to the sizes each platform needs.

We keep the style across frames on one model and one reference, so artifacts and mismatches are rarer. We pick the best frames from a series and fix details in retouching before publication.

We check model licenses and image rights before a project and record a prompt history for every frame. That settles lawyers' questions and simplifies reuse of the materials.

From one frame we build a cover, a banner, a square and a vertical for different platforms. Formats come from one source, so a layout is not rebuilt from scratch.

Video

Video

The process runs from brief and script to editing: we write the script, break it into frames and prepare prompts. The storyboard sets the scenes before generation, so the picture matches the plan.

We generate frames from text, an image or existing video: text to video, image to video and script to video. For each task we match a model by speed, cost and style, so one vendor does not block the project.

Validation checks the brief, image quality and character consistency across frames. Problem takes are re-generated until the picture is clean and stable.

Post-production finishes the video: editing, color grading, music and captions. We prepare the final assembly for platforms in 16:9, 9:16 and 1:1.

Short formats up to thirty seconds the model holds confidently, while long stories with a recurring hero take selection and post-production. That is an honest limit of the technology, and we name it before the start, not after.

Voice and audio

Voice and audio

Speech synthesis turns text into voice-over: we tune pace, pauses and intonation for the format and audience. We match the voice to the brand, so ads and training sound in one tone.

Voice cloning creates a digital brand voice from a sample recording, and one tone holds the voice-over across all company materials. Cloning needs a clean sample, and we advise on how to record it.

We build podcasts and audio guides as long formats: script, music and sound are mixed into one file. Audio versions of courses and articles ship without a studio or a narrator.

Clean sound ships at platform level: we remove noise, level the volume and fix artifacts. A short voice-over takes a day, and a long episode takes a few days.

We check voice rights before recording: cloning another voice needs written consent. We record the documents, so the project does not stall at the legal stage.

Localization

Localization

Localization moves content into new languages: the site, articles, interfaces and video. We adapt the meaning for the market and replace a literal translation with living language that keeps the brand tone.

One glossary of terms and names keeps the product in agreement across languages. All translators work from one dictionary, so terms do not drift between releases.

The text passes native-speaker editing, and disputed wording is fixed against the glossary. The material reads naturally and lands in the local culture, rather than reading like a translation.

Video gets captions, dubbing and on-screen text swaps. Material ships in a new language without a reshoot, and platform versions come with the locales.

We estimate the budget by language and volume, and the launch date sets the schedule. The estimate is built by language, so spend stays transparent and priorities are visible up front.

Presentations

Presentations

Presentations and documents are built from a brief: the story structure, points, arguments and conclusions. A slide follows the logic of the talk and the brand book, not a set of random blocks.

We turn spreadsheet data into clear charts and conclusions. Figures are checked against the source before delivery, so a slide does not mislead the audience.

For every slide we write speaker notes, so the talk and the slide work as a pair. A pitch deck takes three days together with the text, and a report depends on the data volume.

The finished template and block library stay with the team, so new decks come together faster. One presentation style holds across every department.

Complex brand design we build with a design team, while typical decks are covered by the template. That way the team handles the volume, and designers take on non-standard work.

Technologies

Generation methods

Text to image

We build images from a text description: composition, style and palette for the brand.

Text to video

We generate video from a description: scene, motion, style and frame angle.

Image to video

We bring images and frames to life: photos, illustrations, renders and motion animation.

Script to video

We turn a script into a finished video with voice-over, captions and editing.

Speech synthesis and cloning

We generate a brand voice and voice texts: tone, pace and intonation for the format.

Avatars

We create virtual presenters and speakers for video, courses and presentations.

References

Working with references

Business tasks

By business task

Advertising and marketing

Ad videos, teasers, banners and copy for social media and media buying.

Training

Guides, explainer videos, courses and audio versions of materials for the team.

Product visualization

Product scenes, product reviews, interiors and virtual tours.

E-commerce

Product cards, descriptions, catalog and ad images in one style.

Brand and corporate

Image videos, corporate films and materials for events.

Social and media

Posts, cuts, short videos and covers for every platform.

Portfolio

Video examples

We'll send you work samples for your task.

Get examples
Budget estimate

Cost calculator

This is an indicative range, not a quote. We scope the exact estimate after a brief: it depends on volume and the number of integrations.

Channels in the delivery

Languages

1

Add-ons

Integration

Video in the delivery

Images

Voice and audio

Localization

Presentations

Support

Year one: updates and monitoring, a reply within 2 business days.

Solution

Content Generation

Technologies

LLM & AI assistants

Capabilities

Content generation

The estimate covers our team's work. Hardware, third-party service licences and travel are added on request.

Estimated cost

₽1.5M

Timeline

9 wk

Questions

Frequently asked questions

Will the content look repetitive?

We set different templates, lengths and angles, plus a human review step. Keeping the models away from repeats is our job during setup.

Who is responsible for facts?

The model generates, a human verifies. We connect sources and references so the text does not invent numbers.

Will it match your style?

Yes, we train on your materials and set the brand voice in the brief. We fine-tune on editor corrections when needed.

What if volumes grow?

The pipeline scales: batches, queues and parallel jobs. Cost per unit of content falls as volume rises.

Who runs the editing?

An editor on your side and our specialist hold the standard: facts, figures, style. You approve the final material yourself.

Can we run on our own models?

Yes, we build the pipeline on your models or on cloud ones. A closed perimeter fits when company data must stay out of public services.

We bring AI into your business

Tell us about your processes – we'll propose a solution and an implementation plan.

Discuss the project