AI agent online
[ R&D · Full-cycle consulting · est. 2019 ]

Federal Bureau of ResearchTrendwatching, marketing and product research for mid-sized and large IT businesses

We help mid-sized and large IT companies launch new products and build startups by embedding the R&D business process into the strategic and operational frameworks of the business.

Research Trendwatching
10+
years in the R&D market
200+
full-cycle projects
50+
conference talks
3
core segments
About · 03
[ R&D · CYBERNETICS ]

A research laboratory where artificial intelligence is part of the research business process.

The Federal Bureau of Research is an independent full-cycle R&D bureau. We help IT companies launch new products, treating technology and market as indivisible halves of the same equation.

Since 2019 we have traveled a path from an agency specializing in user experience research — using Customer Development and Jobs to be Done methodologies — to a laboratory where the very approach to qualitative in-depth research has been reimagined.

CEO / Founder Founder — portrait
Moscow Est. 2019

Dmitry Vesnyankin

CEO & Founder

“An agency is a form of value delivery that thrives on executing requests for which someone simply lacked the in-house resources.”

Small companies turn to agencies to solve issues they lack the staff to handle — while growing that staff is costly and painful. Mid-sized and large companies turn to agencies when they lack the flexibility to solve a task quickly.

The agencies themselves always hit a growth ceiling — more projects, more people.

“Now this market looks different — an agency made of AI agents can fit literally in the pocket of any company, while the former role of ‘human’ agencies shifts to orchestrating the deployment of multi-agent systems inside the business.”

R&D Experience
7 years
Geography
RU · CIS · MIDDLE EAST
Focus
Architecture · Protocols · Frameworks
Languages
RU · EN

Key Achievements

  • Speaker at Forum of the Future, Merge, and IT-Stachka conferences — more than 20 talks over the past 5 years.
  • Serves as an expert on economic digitalization at Government of the RF venues — the Civic Chamber of the RF and the Chamber of Commerce and Industry of the RF.
  • Launched startups and digital products inside mid-sized and large companies — real estate development, e-commerce, and fintech.
  • Advises industrial companies on projects for the digital transformation of manufacturing.
Mission

We build multi-agent systems in which the algorithm serves the goal, not the other way around. We believe that reliable architecture is transparent architecture, and the best interface is the one whose logic can be read without a specification.

Request a research briefing Message Dmitry
// 02 / ABOUT SYS::ONLINE

[ Federal Bureau ] of research and development / strategic trendwatching

> We are the first AI-native consulting bureau whose strategic and operational business process framework is built around artificial intelligence.

We offer two engagement formats

02 // FORMATS
[01] Consultant team ★ Popular

Hypothesis validation

01.1 Format

A team of domain experts — analysts, marketers, and product managers with deep expertise in your market segment.

  • Briefing interview with the Client
  • Project roadmap based on the detailed briefing
  • Series of intake interviews with management and owners
  • Prioritization of primary hypotheses for research
  • Assembling a team of domain experts for the project
  • Assignment of a project lead
01.2 Outcome

Sprints following Agile, divided into two-week intervals, at the end of each of which the team delivers the sprint results.

  • In-depth interviews: CustDev / JTBD
  • UX testing
  • CJM design
  • Market analysis and sizing across segments: TAM, SAM, SOM
  • Competitive analysis: competitive landscape matrix
  • Sales channel analysis: existing strategies and funnels in the market
⏱ 2–4 months from 800,000 ₽
Submit a request →
[02] AI-agent team ⚡ Express

Trend monitoring

02.1 Format

An autonomous team of trained AI agents, orchestrated within a workflow, that instantly engages in monitoring trends in your market, your competitors, and legislative tendencies — at the earliest stages.

  • RAG process providing multi-factor validation of AI agent results
  • Process orchestrator instantly distributing market monitoring tasks across AI agents
  • Autonomous execution with results delivered to your email
02.2 Outcome

A weekly report on trends in your market, highly customized to your company's strategic goals — you receive the report by email every Friday after filling out a detailed brief once.

  • Trends: what's growing, what's stagnating, where to look in the context of your products and services
  • Competitors: announcements, events
  • Legislation: early insights, what's being discussed, what's just being introduced for review
⏱ < 60 minutes 5,000 ₽ / month
Try it now →
CHANNELS 7 // OPEN
AGENTS 5 // ACTIVE
REGIONS RU · CIS · MENA
UPLINK SECURE // OK
How it works // AI Agency

Architecture that turns data into strategic decisions

Trendwatching as a process works only when its architecture is set up correctly: information gathering, research, strategizing, validation, and report preparation are separate processes with distributed task lists, managed by an orchestrator. 5 agents, 3 workflows in a unified pipeline, 1 orchestrator — a result without distortions.

LevelL // 05
AccessSECURE
StatusACTIVE
// At input Raw data · hypotheses · signals
// ORCHESTRATOR NODE · ROOT

Orchestrator

Manages 5 agents in real time
AGENT-01 active

Sourcer

Collection and synthesis of data from strictly validated sources.

  • WEB SEARCH
  • FILE SEARCH
  • RAG
AGENT-02 active

Researcher

Clustering and segmentation of collected data, formalizing initial insights.

  • RAG
  • MCP
AGENT-03 priority

Strategist

Marketing strategy and product management, formalizing growth hypotheses.

  • RAG
  • MCP
  • FILE SEARCH
AGENT-04 active

Auditor

Validation of results received from each agent at every step.

  • RAG
  • WEB SEARCH
  • FILE SEARCH
AGENT-05 active

Designer

Layout of final documents: reports, presentations, and graphics.

  • RAG
  • CODE
  • MC
STEP 01 Data collection PRIORITIZING DATABASES TO START THE RESEARCH
STEP 02 Analysis REASONING AND FORMING MARKET INSIGHTS
STEP 03 Formalization GENERATING PRODUCT HYPOTHESES
STEP 04 Validation VERIFICATION OF METHODOLOGY, LOGIC OF CONNECTIONS AND CONCLUSIONS
STEP 05 Result REPORT GENERATION
// At output Validated indicators for attention
// NEXT STEP · INIT PROTOCOL

Start monitoring trends on subscription

Answer the brief questions in as much detail as possible — the orchestrator will connect the required agents, run the data through 5 pipeline steps, and return a validated report. First report on the day of request, subsequent ones every Friday.

Fill out the brief →
Response ≤ 24 h · NDA on request
RD.WORKFLOW // v.5.0 // ORCHESTRATED
NEXT PROTOCOL → CASE STUDIES

04 // EXPERT PRACTICE

Why it works

Proprietary approaches and deep expertise in analytics and research, validated by demand across a wide range of Russian and international industry conferences and broad-profile business events.

20+
Speaking events
20+
Conferences
10+
Awards
Conference talk
Plenary session

OP RF

Moscow · January 2026

Workshop
Plenary session

Forum of the Future

Yekaterinburg · October 2024

Master class
Talk

Stachka

St. Petersburg · September 2024

Networking
Talk

Merge

Kazan · April 2025

“

Sharing knowledge is the only way to move the industry forward.

DV
Dmitry Vesnyankin
Founder & CEO
Expert session
Panel discussion

Forum of the Future

Yekaterinburg · December 2023

Exhibition
Podcast

Armada Megamall

Orenburg · June 2023

Conference
Talk

Merge

Kazan · April 2025

Workshop
Panel discussion

Forum of the Future

Yekaterinburg · December 2023

Invite our experts to speak at your conference or run a private workshop for your team.

Request speakers
// Media & Publications

WE SPEAK — AND THEY SPEAK ABOUT US

Our team's expert perspective on product, trends, and the market. Five publications on how fashion-tech and D2C brands evolve into full-fledged tech players, how to find Product-Market Fit, and how to validate hypotheses without burning budget.

Fashion-tech and D2C brands
Featured Publication

Fashion-tech & D2C: How Fashion Brands Are Becoming Tech Players

Exploring why the line between fashion retail and tech companies is rapidly blurring — what investments in product, data, and customer experience turn an apparel brand into a fully-fledged tech player on the D2C market.

Author
Dmitry Vesnyankin Product / Strategy
8 min read
Read on TenChat tenchat.ru
Product-Market Fit and Zara case study tenchat.ru Product

Product-Market Fit Within the Cycle: 15-Day P&L and the Final Part of the Zara Case Review

A walkthrough of building P&L models in 15 days to validate PMF, plus the final installment of the Zara case review — what worked, what didn't, and which numbers truly matter.

Author
Dmitry Vesnyankin
Read on TenChat
Hypothesis testing tenchat.ru Hypothesis

Hypothesis Testing: How to Speed Up and Cut Costs in Your Product Approach

A practical guide to cheap and fast experiments — which hypotheses to validate first, how to avoid burning the budget, and when a single-day test is enough.

Author
Dmitry Vesnyankin
Read on TenChat
Trendwatching for products vc.ru Trends

Trendwatching: How to Find and Create Trends for Your Product

Where to catch market signals ahead of competitors, how to tell a real trend from noise, and how to turn an observation into a concrete product feature.

Author
Dmitry Vesnyankin
Read on vc.ru
Analytical matryoshka tenchat.ru Analytics

The Analytical Matryoshka: Speculating with Numbers Instead of Real Market Research

Why polished reports with figures and no methodology are a dangerous illusion — and how to tell genuine market research from data manipulation.

Author
Dmitry Vesnyankin
Read on TenChat
// 04 — Project Initiation

Assemble a cyber-team
for your R&D

Business research, full-cycle R&D projects, and deployment of multi-agent systems for enterprise.

  • Speed. First reply within 1 hour; we'll align the pilot within 1 week.
  • Security. We come back with an NDA; personal data processing fully complies with 152-FZ.
  • Depth. A senior-level team assembled for your specific task and market segment from domain experts.
  • Transparency. Fixed budget per milestone, weekly scrum meetings with the team.
120+ R&D projects
24h to reply
ISO 152-FZ · GOST
// REQUEST R&D project request

Launch the brief right now

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// SIGNAL RECEIVED
Your request has been queued for the R&D team. A manager will contact you on Telegram or by phone within 24 hours.
R&D / Marketing Agency // Intake Protocol v3.2

INTAKE.SUBMIT()

Launch weekly trend monitoring for your industry. Your first report will be delivered free of charge within an hour.

NODE: AGENT.MKT-7
LATENCY:--ms
SECURE:TLS-256 · FZ-152
SLA:30 MIN
QUEUE:00 ACTIVE
// KII.WEEKLY · BRIEF.STREAM

A weekly report on trends in your market, the behavior of your competitors, and early insights into emerging legislative trends affecting your company

Complete the brief in as much detail as possible; it will become the first input point for your KII — corporate artificial intelligence, which will deliver a report every Friday, helping you start each Monday planning meeting with insights that directly influence your strategy.

TICKET-ID: PENDING
PRIORITY: NORMAL · P2
SLA: 30 MIN
The Full Name field is required
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The E-Mail field is required
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Enter a valid phone number
The TIN field is required
Enter a valid TIN (10 or 12 digits)
The TIN must contain at least 10 digits
The TIN must not exceed 12 digits
Enter the commercial name of your company / brand
Minimum 2 characters
Enter a valid website URL (for example, https://company.com)
Select a business type
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Select a sales model
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Describe your products and services
Minimum 30 characters — this will help us select a strategy faster
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To submit the request, you must confirm your consent to the processing of personal data
To submit the request, you must confirm your consent to the processing of personal data
Action Submit request → register in the ticket system

// SECURITY.NOTICE · 152-FZ Data is transmitted over a secure channel (TLS-256). Consent to the processing of personal data is confirmed by the mandatory checkbox above and may be withdrawn at any time by submitting a written request to the Operator. By submitting the request, you confirm that the information provided is accurate and belongs to you.

Request registered ✓

Your request has been accepted and is now being processed. A manager will contact you within 30 minutes during business hours using the contact details provided. Please save the request number to track its status.

TICKET: —
customer inquiries
NODE_ID FBR-CONTACT-001
[ 01 / Contacts ]

Contact details

Use the support request form below, or write to us directly at our working email. All inquiries are processed within 24 hours of receipt.

Office hours Mon–Fri · 09:00–19:00 MSK
Response time Within 24 hours of submission 
root@fbr:~$ connect support@federal-bureau-of-research.tech
[OK] channel established
[OK] encryption: AES-256-GCM
[OK] awaiting transmission...
[ 02 / Company details ]

Company details

▸ BENEFICIARY
Name IE VESNYANKIN DMITRY ANDREEVICH
TIN (INN) 622901109422
OGRNIP 319623400046221
Account 40802 810 1 5300 0000708
▸ BENEFICIARY'S BANK
Name ORLOVSKY BRANCH No. 8595 PJSC SBERBANK
BIC 045402601
Cor. account 30101 810 3 0000 0000601
Bank TIN 7707083893
KPP 623402001
ESTABLISHED 30.09.2019
[ 03 / Support request ]

Support request form

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