Your data. Your perimeter. Russian and global AI models — under your control.
of Russian companies already adopt or pilot AI
The market doesn't argue whether AI is needed — the race is for who extracts value first.
UserGate · survey of 335 executives · 2026
of companies have a structured adoption strategy
Most are still experimenting — and that's where the advantage is decided.
potential contribution of AI to the Russian economy
Yakov & Partners estimate
Takeaway
Most pilots stall for three clear reasons: opaque ROI, uncontrolled AI answers, and data risk. That's not a reason to wait — it's a checklist of requirements for a solution. Faradey covers every point — which is why the pilot reaches a result.
42% of employees spend longer finding a file than working with it
A knowledge base with smart document search: an answer with a citation and a link to the exact fragment. Scanned PDFs (OCR), Word, Excel, meeting audio and video — all indexed and searchable from one question.
A bottleneck of 2–3 people who can actually write a proposal
Automatic drafting of proposals, specs, quotes and minutes from your corporate templates. Tender-analysis and effort-estimation skills. Days turn into minutes.
77% paste work data into public chatbots · 30× growth in leaks in a year
An official corporate perimeter: access control, a who/what/when audit, PII masking, the right to be forgotten. Staff have a legal place to go — shadow AI loses its point.
Microsoft cut licensing, OpenAI went dark — the precedent is set
Multi-provider (Qwen, DeepSeek, GigaChat, YandexGPT), your own perimeter and a Russia-first fit: tax IDs, 44/223-FZ tenders. Swapping a model is a toggle, not a project.
One product instead of a zoo of tools: 55% of employees switch between 5–10 apps every day.
a single entry point
cited search across every company document
proposals, specs, quotes, minutes — from your templates
Excel-compatible tables, flowcharts and process diagrams
HR, legal, finance, procurement, sales, projects
scheduled agents, team tasks, notifications
works right inside Telegram channels
from 1C, Bitrix and SAP to any in-house apps
Tender documentation is loaded into Faradey (PDF, scans via OCR)
A skill extracts requirements, details and evaluation criteria
The assistant asks clarifying questions and builds the proposal structure — you edit it
Sections are written from the company knowledge base, facts with sources
Edits apply one at a time, versions are compared, export to DOCX
AI does nothing unchecked — a person confirms the key steps. Exactly what 90% of failed pilots lacked.
Every task of every project in one window. The assignee is a person or an AI agent: Human / AI filters, statuses, deadlines, owners.
“Create a task in the Marketing project” or “send a summary every morning at 9:00” — the agent creates the record and returns a link. Works in Telegram too.
On schedule the agent searches the knowledge base, analyzes and publishes the result — to chat, notifications and messenger. Status: Done or Error.
search and matching
document verification
legal-risk analysis
diff and change tracking
minutes and task list
report parsing and analysis
tax IDs, accounts
proposal generation
requirement extraction
estimate with auto-table
create your own skills for your company's processes — no coding
Company → projects → roles. Project visibility down to a single employee.
A who/what/when log, end-to-end operation tracing, break-glass access with a record.
Masking of personal data in logs, the right to be forgotten — 152-FZ ready.
GigaChat and YandexGPT out of the box, Qwen and DeepSeek — in your perimeter or on servers inside Russia per 152-FZ.
Deployed in your infrastructure, object storage, license control.
Agent steps, answer sources and token spend are visible — no black-box magic.
Not visible in search, the knowledge base or AI answers — for this role the project doesn't exist.
Access is granted along the company → project → role chain and configurable down to a single employee. Every AI request passes the same permission check — the model only answers from the data the person is allowed to see.
per user, per project and per company
Two models: cloud with pay-per-token, or installed on your own servers — with no token fees.
of operations are traced: dashboards, audit, a live event stream
IT and security see everything
Cost tracking · sample pilot dashboard
6 weeks · one team
Costs and impact are visible per department from day one — ROI is measured, not guessed. Opaque ROI is exactly what buries 90% of pilots.
We'll pick a team where the pain is measurable in money and weeks — and show the result there.
We load your documents and templates and connect 2–3 skills
The team works in Faradey: tenders, proposals, knowledge base
We measure the effect: hours, documents, token spend — and you decide
The pilot result: a measured effect on your data, in your perimeter.
