Dentsu Data Artist Mongol LLC (“the Company”) has established this Privacy Policy in accordance with the Mongolian Law on Protection of Personal Information, the Japanese Act on the Protection of Personal Information and the Guidelines Concerning the Act on Protection of Personal Information, and expresses its commitment to the appropriate management and protection of personal information.
1. Handling of personal information
(1) Purpose of use
The Company acquires personal information by fair and appropriate means and uses it within the scope shown under “Purpose of use” in Table 1. Personal information of a type not listed in Table 1 will be used only after the purpose has been separately notified, or prior consent obtained from the individual concerned.
(2) Management of personal information as data processor
Based on contracts concluded with our business partners, we collect and process personal information within the scope of Table 2. Where we act as a contractor for the handling of personal information, we manage it as follows:
Information is collected and processed under the supervision of the data owner.
Information is edited, changed or deleted in accordance with the data owner’s instructions.
Reports and other matters arising from processing are provided to the data owner.
Personal information obtained in the course of business is retained appropriately.
Results are returned to the data owner at the date and time specified by contract, or deleted in an irrecoverable condition.
Safety control measures essential to information management are maintained at all times, with further improvement as necessary.
(3) Management of subcontractors
As shown in Tables 1 and 2, the Company may outsource some operations related to personal information. The Company selects only companies recognised as maintaining a sufficient level of protection, includes all required obligations in the contract, and continuously supervises and audits them as necessary. Re-consignment is placed only after the consignor’s consent.
(4) Provision to third parties
The Company will not provide or disclose personal information to third parties except as stipulated in the Law on Protection of Personal Information. Where information is provided or disclosed, we comply with the applicable laws and regulations.
(5) Shared usage
The Company may share personal information marked “Yes” under “Shared usage” in Table 1 with its parent, Data Artist Inc. The party responsible for the management of such information is:
Data Artist Inc. 1-8-1 Higashi-Shinbashi, Minato-ku, Tokyo, Japan Satoru Yamamoto, Chief Executive Officer
The Company may also share personal information with its group companies and business partners for purposes such as holding joint seminars. In such cases the Company ensures security management among the joint users.
2. Compliance with laws and regulations
The Company strictly complies with all relevant laws, regulations, contracts and other rules regarding the protection of personal information.
3. Safety control measures
The Company takes safety management measures to prevent leaks of personal information by establishing and improving protection systems, providing training and education to employees, controlling access to company buildings, and implementing information security measures. Personal information no longer in use is securely disposed of or erased. To confirm the details of these measures, please use the contact under section 5.
4. Continuous improvement
The Company continuously reviews and improves its personal information protection management structure, including this policy, in accordance with requests from business partners and changes in social conditions.
5. Complaints and consultations
We have established the following contact and will promptly respond to complaints and consultations regarding the handling of personal information.
The Company may change this Privacy Policy in accordance with changes in the related laws on protection of personal information without the consent of users. This policy and any changes become effective upon publication on the Company’s website.
This Privacy Policy is prepared in Japanese as the original, with Mongolian and English translations attached. In the case of any discrepancy in meaning between the original and a translation, the original Japanese version shall prevail.
Table 1 — Personal information obtained by the Company
Type
Purpose of use
Method of acquisition
Outsourced
Shared
Customers
Guidance and contact regarding proposals, services, seminars and questionnaires
Directly from the individual (business card, email)
Yes — invitations to events and seminars
Yes
Business partners
Guidance and contact regarding proposals and services
Directly from the individual (business card, email)
No
Yes
Visitors
Connecting to the person in charge, and access control
Directly from the individual
No
No
Employees
Business operations, development of business promotion systems, human resource policies
Directly from the individual
Yes — HR operations, payroll
Yes
Applicants
Operations and communication associated with application, hiring and selection; employee records after recruitment
Directly from the individual
Yes — selection, scheduling, contact, records
No
Enquirers
Response to enquiries, requests and complaints
Directly from the individual (telephone, email, fax, letter)
No
No
Table 2 — Personal information acquired through contracted services
Type
Details of contracted services
Outsourced
Personal information entrusted to us by business partners for outsourcing
Consumer trend research, personalisation (provision of information based on personal attributes and behavioural history), system development (user role setting) and other data analysis services as commissioned work
Yes — research, analysis, database server operations, system development
Approved August 2022 Dentsu Data Artist Mongol LLC Altan Joloo Tower 6F, Seoul Street, 5th khoroolol, 3rd khoroo, Sukhbaatar district, Ulaanbaatar 14252, Mongolia Hatsumi Imai, President and Executive Officer
Cookie policy
Applies to www.ddam.ai
A cookie is a small text file a website asks your browser to store. This page explains which ones we use and what you can do about them.
1. Cookies we set
This site sets no cookies of its own. It stores no identifiers, keeps no session, and writes nothing to your browser that persists after you close the tab. Any preference the page remembers — a sound toggle, for example — is held in memory only and is gone when you leave.
2. Cookies set by others
Where we embed a third-party service, that service may set its own cookies once you interact with it:
Google Fonts — typefaces are requested from Google’s servers. Google receives your IP address as part of that request. No cookie is set for font delivery.
Instagram, Facebook and LinkedIn links — following a link takes you to that platform, which applies its own cookie policy from that point on. Nothing is set while you remain here.
3. Analytics and advertising
If we later add analytics or advertising measurement, this page will be updated to name each provider, state what it collects and how long it retains it, and a consent banner will be shown before any such cookie is set.
4. Controlling cookies
Every major browser lets you view, block and delete cookies in its settings, and offers a private browsing mode that discards them on exit. Blocking cookies will not prevent this site from working.
5. Personal information
Where a cookie or an embedded service processes information that identifies you, it is handled in accordance with our and with the Mongolian Law on Protection of Personal Information and the Japanese Act on the Protection of Personal Information.
Ulaanbaatar 47.92°N 106.92°EDentsu GroupAlways to create high value
AI aloneisn't enough.
Adaptive Intelligence
DDAM is the AI and data engineering arm of Dentsu Digital. We design the models, pipelines and systems — and our clients run their businesses on them.
Everyone can reach the same models now. The difference is who can get them running inside a business: tested, deployed, and still working next quarter.
Orientation Know where you areTime Know when you areMovement Know when to move
ÖrtööDDAM is the relay station at the centre. Nine things we actually do orbit it — pick one to see where it leads.
Explore the network — choose a station0 / 9 reached
AI Solution DevelopmentData EngineeringӨРТӨӨ — the relayProof of ConceptDigital Marketing OpsAlways to create high valueTokyo ⇄ UlaanbaatarR&D
ST 01The idea
ӨРТӨӨ
Örtöö — the relay station. Mongol Empire, thirteenth century. Proof that implementation is the hard part.
Know where you are.Orientation
Know when you are.Time
Know when to move.Movement
Three things a rider had to have before the message could leave. They are also where DDAM’s own design principles start — four more carry the same logic further.
Khana
Tension
Portability
Nomadic Intelligence
Mongolia built the fastest information network in the world and held the record for centuries. Relay stations roughly a day apart, from the Danube to the Yellow Sea: a rider came in exhausted, handed the message on, and a fresh horse carried it out.
The idea was not the achievement. Every empire wanted fast messages; none of them were short of the concept. What the Mongols actually did was build the implementation — where stations went, how horses were rationed, who counted as authorised, what happened when a rider failed.
The idea was ordinary. The implementation was the achievement. That is the same argument we make about AI, and it was proven here once already. We design the models and the systems; our clients run their businesses on them.
We don't deliver the work. We build the thing that does it.
ДАМУЖИН
You're carrying the light
Ask Damujin · Physical AI Interface
I carry messages across the relay for a living. Ask me anything about Örtöö or DDAM.
Who
Damujin is DDAM's character.
What he wears
A black deel, a gold sash, turquoise in his headband — and sneakers. The tradition is not a costume; it is what he wears to work.
Örtöö — the station
A day’s ride apart, all the way to the Danube.
No rider knew the whole route — only the next station.
Örtöö — the handover
Every station handed the message on, and let it go.
Nobody carried it the whole way. Nobody had to.
Örtöö — the pattern
That is the shape we build into now.
A system that keeps moving after any one rider steps off.
01times the ride has looped the message unchanged
Mongolia
HorseSpeedSignalNetwork
Relay — the carrier changed four times. The message never did.
Between 01 and 02
Raw in. Four things that did not exist before.
MovementNothing is carried unchanged. What arrives as noise leaves as something that runs.
Everything arrives as noise — logs, spend, impressions, half-labelled spreadsheets. We don't sort it and pass it on. We work out what it could become, then build that: a trained model, a pipeline, a proof, an automated operation. Our clients keep running them long after we hand over the keys.
01ModelsTrained, evaluated, deployed02PipelinesConnected and governed03ProofsSix weeks to an answer04CampaignsRun, reported, automated
ST 02Capabilities
Four things we do, and we do them all the way to production.
No slide-ware. Every engagement ends with something running.
C/01
AI Solution Development
Models that survive contact with production.
Custom modules built for one business problem, not a demo — trained, evaluated, deployed and monitored. Recommendation, forecasting, classification, LLM tooling, computer vision.
Problem
Models that work in a notebook and fail on contact with production.
What we do
Train, evaluate, deploy and monitor a model against one business problem.
You receive
A running model, its evaluation record, and the monitoring around it.
Already done
Recommendation, forecasting, classification, LLM tooling and computer vision, in production.
MLOpsLLMForecastingCV
C/02
Data Engineering & Analytics
Data is strongest when it's connected.
Collection, cleansing, structuring, warehousing and the analysis on top. We build the pipeline that makes every later question cheap to answer.
Problem
Every new question costs a new project, because nothing is connected.
What we do
Collect, cleanse, structure and warehouse the data, then build the analysis on top.
You receive
A governed pipeline and warehouse your own team can query without us.
Already done
Cloud-native pipelines with governance, feeding the models above.
PipelinesCloud nativeBIGovernance
C/03
Proof of Concept & R&D
Find out in six weeks, not six quarters.
Most companies cannot say whether AI will help them until they test it. We run the hypothesis cheaply and fast, and we tell you plainly when the answer is no.
Problem
Nobody can say whether AI will help here until someone tests it.
What we do
Run one hypothesis against your own data, cheaply and in the open.
You receive
A plain answer in six weeks, and the number that decided it.
Already done
Six-week fixed-scope proofs — including the ones where the answer was no.
Rapid prototypingNo lock-inBenchmarking
C/04
Digital Marketing Operations
80% of campaign reporting, automated.
Front-end simulation for pitches, live campaign management, submission and creative control, and advertiser reporting for the Japanese market — with our own AI doing the repetitive part.
Problem
Reporting and submission work consumes the team that should be optimising.
What we do
Run campaigns, submissions, creative control and advertiser reporting.
You receive
An operated campaign, and the reporting, with the repetitive part automated.
Already done
80% of campaign reporting automated for the Japanese market.
Campaign opsJP marketAutomation
How the work actually runs
Collective intelligence, to progressively reduce uncertainty.
01Explore
Bring together people, AI, data and market signals.
02Frame
Define the question, hypothesis and what we need to learn.
03Simulate
Explore possible reactions, scenarios and outcomes before acting.
04Build
Create only what is needed to test the hypothesis.
05Test
Put it in front of real people, workflows or environments.
06Learn & decide
Use evidence to scale, change direction, repeat — or stop.
Sometimes the right outcome is a decision not to build.
ST 03Telemetry
The station, in numbers.
Headcount · 2018 → 2026150 in 2026
2018 — FOUNDED2023 — INTO DENTSU DIGITAL2026 — TODAY
A hundred million personas modelling Japan’s consumer population — grounded in real survey data, and able to answer a research question in minutes rather than weeks.
Ask a large model to imagine a Japanese eighteen-year-old and it will answer fluently and be wrong in ways you cannot detect. That is the whole problem in one sentence, and it is why the interesting engineering is not the generation.
100Mpersonas — the scale of Japan’s consumer population
Grounded in repeated national survey waves, not generated from a prompt. Filter to a prefecture, an age band or a segment and query that population directly.
Two thousand of a hundred million
Every view below is one population, not five charts.
Six stations on one route. At each one the same two thousand people are
re-sorted, never replaced — the arrangement changes, the population does not.
06 stations on this route
Shape from published national marginals. Individuals illustrative.
Built to explore what comes next
Our platforms and labs turn questions into experiments, and experiments into real impact.
Agents for a bigger tomorrowDDAM Canvas
Build and use purpose-specific AI agents.
Ideas, people, possibilitiesAI Studio
A space for collective intelligence.
Explore before you actSimulation & Synthetic Intelligence
Explore people, scenarios and possible outcomes before acting.
Intelligence in a wider worldPhysical AI Lab
Explore what happens when AI enters the physical world.
Local insights. Global impact.
Mongolia — real-world proving ground
Connect experiments with real consumers, brands, environments and market conditions.
Real people Real places Real progress
Between 03 and 04
A hub is only useful if it reaches somewhere.
RouteLegs between stations, and a hand-over at each one. The message never stops.
The regions our president names as the network Mongolia connects: the UK, Singapore, India, Taiwan, China, Indonesia and Vietnam, with Japan as the group’s home. Plotted from Ulaanbaatar with real great-circle distances and time offsets — Tokyo is 3,008 km and one hour ahead, near enough that a question and its answer happen the same morning. Spin the globe. Click a station.
APAC
Tokyo
Who
What
Why
Distance3,008 kmOffset+1 h
Trajectory of Value & Knowledge
Global does not mean headcount. It is problems, knowledge and technology moving between time zones and arriving as real value. Click a corridor to focus the globe.
Station 01 · Hub
UlaanbaatarThe Engine · 150 Specialists
Where it starts
Altan Joloo Tower 6F — every global relay is received, engineered, and monitored here.
What DDAM builds
Custom ML models, 100M persona groundings, governed pipelines, and 6-week proofs.
Value delivered
Zero slide-ware: running models and production systems shipped across 3 continents.
Tokyo → UB → Tokyo
Tokyo — AI Solutions3,008 km · +1 h
Market challenge in
Japanese enterprise challenges, client briefs, and massive telemetry ad logs.
What moved & engineered
Algorithm squads train, evaluate, and calibrate custom ML & recommendation models.
Production result
80% of campaign reporting automated; deployed directly into Dentsu client environments.
Bengaluru ↔ UB
Bengaluru — Data Scale4,738 km · −2.5 h
Infrastructure in
Distributed cloud-native data warehousing architectures across the Dentsu network.
What moved & engineered
High-throughput data pipelines, automated schema governance, and 24/7 MLOps telemetry.
Production result
Autonomous data warehouses that client engineering teams query without ongoing lock-in.
London ↔ UB
London — Frontier AI6,972 km · −8 h
Innovation brief in
Frontier agent systems, spatial computing, and international creative tech concepts.
What moved & engineered
6-week fixed-scope proofs of concept and Physical AI prototypes tested on Mongolian ground.
Production result
Unambiguous numerical proofs with validated go/no-go decisions before client capital spend.
ST 04The network
A Mongolian company with a Tokyo mandate.
Data Artist was integrated into Dentsu Digital in April 2023. DDAM became a subsidiary of Dentsu Digital Inc. — which makes us a working part of the Dentsu Group, not a vendor at the edge of it.
In practice our engineers help shape the programme rather than receive it: we bring the R&D, we propose what should be built, and what we build gets adopted across the group and ships under a name that has been accountable in that market for a hundred and twenty-five years.
Explore possible reactions, scenarios and outcomes before committing real resources.
02Build while the question still matters
Turn an unfinished idea into something people can see, use and react to — fast enough to change the next decision.
03Bring AI into the real world
Explore what happens when intelligence moves beyond a conventional screen.
04Use the market as proving ground
When the question requires real people, real environments and real behaviour, Mongolia can become a place to learn.
05Transform the work itself
We do not stop at prototypes. We use AI inside real operations, and learn from what happens next.
ST 04bPresident’s message
Hatsumi ImaiPresident and Executive Officer
An AI development hub for the dentsu group, built in Mongolia.
We are living in an era where generative AI is rapidly transforming the way businesses operate, create value, and compete on a global scale. As technology continues to evolve at an unprecedented speed, companies are expected not only to adopt new tools, but also to rethink how they work, collaborate, and deliver meaningful impact.
At Dentsu Data Artist Mongolia (DDAM), our ambition is to become a global AI development hub for the dentsu group. Based in Mongolia, DDAM brings together strong capabilities in digital advertising, BPO, data, engineering, and AI development. By combining operational excellence with advanced technology, we support business transformation and contribute to the growth of Dentsu Digital, dentsu Japan, and the broader dentsu group.
Mongolia has the potential to serve as a strategic hub connecting global teams across regions such as the UK, Singapore, India, Taiwan, China, Indonesia, and Vietnam. By leveraging this unique position, DDAM will continue to strengthen cross-border collaboration and develop scalable AI solutions that create value beyond any single market.
Our greatest strength is our people. DDAM is a team of talented and ambitious members who bring speed, creativity, and commitment to every challenge. As we continue to grow, we are also building the culture, systems, and governance needed to become a stronger and more sustainable organization. I believe that when each member feels proud to be part of DDAM, understands our shared vision, and continues to learn and grow, we can create even greater value together.
As President, I place great importance on staying close to the frontline, listening to our members, and communicating openly. Understanding not only what we do, but why we do it, is essential to building trust and moving forward as one team. Differences in culture and ways of working are not obstacles; they are opportunities to broaden our perspectives and create new possibilities.
Looking ahead, DDAM will continue to pursue both business growth and operational excellence. While revenue growth is an important measure of our contribution to the dentsu group, sustainable growth can only be achieved when our people, culture, and operations grow together.
Our vision is clear: to make DDAM an indispensable AI development hub for the dentsu group and a source of innovation from Mongolia to the world.
Together, we will continue to challenge ourselves, strengthen our capabilities, and create the future through technology, collaboration, and people.
Hatsumi Imai · President and Executive Officer
Management team
Makito TsukaharaVice President and Executive OfficerYoshiki MiyamotoCorporate Planning and Administration Division, Executive OfficerKhandmaa BatbayarDigital Marketing Division, Executive Officer
ST 04cDispatches
What has moved through the network lately.
RelayA dispatch is a message that has already arrived. These are the ones we can confirm.
Station reached · Explore the network1 / 9 discovered
Creative × AI
21–22 May 2025 · DDAM office & ASEM Sky Resort
Drag, use the arrows, or open a station card for the full dossier
ST 05The route so far
Eight years, one direction.
Keep scrolling — the route runs sideways
2015
Data Artist, Tokyo
The parent company starts building AI for marketing in Japan.
2018.06
DDAM is founded
An R&D and development centre opens in Ulaanbaatar, and joins the Dentsu Group.
2019
Beyond marketing
AI work expands into HR, education and other sectors.
2023.04
Into Dentsu Digital
Data Artist is integrated into Dentsu Digital Inc.; DDAM becomes its subsidiary.
2024.01
Digital Marketing Division
Campaign operations stand up as a division of their own.
2025.09
Global Division
A dedicated route for clients outside Japan.
2026.04
150 people, new structure
Tripled in three years. Management moves to an executive officer system.
Next
The station after this one
Deeper AI in operations, more work run end-to-end from Ulaanbaatar.
ST 06The building
Six rooms that argue culture and technology aren't opposites.
Our floor in Altan Joloo Tower was designed around four principles — technological expression, deep focus, multicultural integration, and architecture that assumes the future arrives. It is, we think, the most comfortable office in Ulaanbaatar. Come and disagree.
Mongolian Area
The ger
A real ger on the floor, ringed by a hand-painted history mural. Where visiting clients get tea before anyone opens a laptop.
Japan Area
The Great Wave, in circuitry
Japanese motif redrawn as a printed-circuit pattern, under cyberpunk neon. Doubles as the event stage.
Work Space
The open floor
Open zones for daily work, teamwork, heads-down focus and international meetings — four modes, each with somewhere to go.
AI Studio
Technology & AI Lab
Compute, smart presentation suites, and the room where proofs of concept get their verdict.
APAC Area
The Knowledge Hub
Library alcoves for deep work and continuous learning. Yes, that is a telephone box.
Social
The DDAM Pub
British bar-style lounge for informal syncs, the end of a hard sprint, and the conversations that don't fit in a meeting room.
Between 06 and 07
“People are the nodes that make ORTOO work.”
NodeA station is a place with someone in it. Empty, it is only a building.
Here is our office floor in Altan Joloo Tower, photographed with nobody in it — desks, monitors, and chairs. That is the hardware any company can assemble. Move across it: the space only activates where you look, and a light illuminates at every seat you reach. A station is only a shell until someone sits at the desk. Every seat is a node: people are the nodes that make the ORTOO relay work.
32%Senior & leadHave shipped this before68%Junior & growingBeing taught by them, on live work3×Growth in three yearsAnd still hiring
ST 07People
Grow together. Create value. Belong as one team.
We are a company that runs on human intelligence, so the people come first — mentored by specialists who have worked with global clients, practising the soft skills as deliberately as the hard ones.
What they know
Machine learning engineering and MLOps
Data engineering, warehousing and governance
Analytics and business intelligence
LLM tooling and evaluation
Computer vision
Campaign operations for the Japanese market
What they build
Trained models, deployed and monitored
Governed pipelines and warehouses
Six-week proofs of concept
Automated campaign reporting and submission
Our own products — People Model among them
What they are exploring
Agent systems that carry out multi-step work
Physical AI — models that act in real environments
Simulation before commitment
Mongolia as a live proving ground
01 — Learn & grow
Always learning.
Continuous learning, knowledge shared out loud, and new ideas given somewhere to land. Training, certifications, and a path to the next stage.
02 — One team
We achieve more together.
Different perspectives, actually listened to. Collaboration with people from backgrounds and disciplines unlike your own.
03 — Belong & connect
Everyone has a voice.
An open, inclusive floor where people can be themselves, stay connected, and shape the place they work in.
Build the future of technology
Real AI and digital-marketing problems from real businesses, not sandbox exercises.
Two markets, one career
Work across the Japanese and Mongolian technology landscapes and pick up genuine global experience.
Certified, not just busy
Structured training, professional certification, and L&D budget that gets used.
Do great work, live well
A modern floor, wellbeing programmes, and a schedule that assumes you have a life.
Tokyo is 3,008 km away and one hour ahead. A question asked in the morning is answered the same morning, which is the part that actually matters — not the kilometres. Offshore arrangements fail on time zones, not geography.
Can you work in Japanese?
Seventy per cent of the floor works in Japanese and ninety per cent in English, alongside Mongolian. Briefs are read in the language they arrive in, and our engineers sit inside Japanese client programmes rather than receiving translated summaries.
What does a first engagement look like?
Almost always a proof of concept: six weeks, one hypothesis, fixed scope and a fixed fee agreed before it starts. If the honest answer at the end is that it is not worth building yet, you get that answer — and everything built along the way.
Who owns what you build?
You do. Code, models, pipelines and documentation are handed over so your team can run and change them without us. We do not build dependencies on ourselves.
Are you an agency, or part of Dentsu?
Dentsu Data Artist Mongol LLC is a subsidiary of Dentsu Digital Inc., which is part of Dentsu Group Inc. Work ships under the group’s governance, security and accountability standards.
How quickly will someone reply?
Write to ddam@group.data-artist.com and a person — not a form robot — reads it. The first reply tells you who owns the conversation and what the next step is.
ST 08Build it
Bring us the unfinished question.
A problem
An idea
A hypothesis
A strange possibility
Tell us the problem, not the spec. If a proof of concept is the honest first step we will say so, and we will have run it before the quarter is out.
What a normal week looks like.
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