We help you make human-centered decisions with AI, research, and evidence. Through digital transformation roadmaps, market intelligence, data-driven customer micro-personas, and strategic research, create real value across your business, products, and services. Your partner on this journey: D
Behind our solutions stand established technology partners who provide reliable, uninterrupted service. We hold our vendors to the same trust we ask of you.
Trademarks of their respective companies.
The difference is not the technology; it is the method that turns strategy into action.
"I do not know where to start yet."
Start with an AI Readiness Audit. In 3+1 weeks, get the full picture and a prioritized roadmap.
"I need to understand my customers better."
Micro-personas are exactly right for that. 5 business days, an evidence-backed persona universe.
"I am missing the signal in the market."
Start 24/7 monitoring across 70+ channels with the Continuous Listening Center™.
"I have plenty of data but cannot create value from it."
With data ingestion optimization, move from insight to action in 4–6 weeks.
Let us define your starting point together. In a free 30-minute discovery call, we will assess together which service creates the most value for your most pressing questions.
Request a CallMost AI projects never make it past the pilot stage. Why? Because the bridge between strategy and execution is missing. Digital Intelligence Institute builds that bridge for you in 4 steps. Each step turns the previous one’s output into input; no decision is ever disconnected from data — and at the center of every step is not technology, but people.
We use proven methods and tools from science and industry research. We share these transparently with your company throughout our partnership.
Trademarks of their respective institutions.
Productized packages that scale from SME to enterprise: duration, pricing model, and output are clear from day one.
Where and how should your company use AI?
We interview your leadership, observe your workflows on-site, and assess your technical and organizational capacity. At the end of a 4-week engagement, you are ready for the transformation journey with an AI Transformation Report and an Agentic Workflow Migration Roadmap. On this journey, we bring the most advanced consumer-research tools and methods for your industry.
Output: AI Transformation Report + a prioritized 90/180/365-day Agentic Roadmap (with ownership assigned to each item).
How would your business metrics be affected if you moved forward?
We design mini-experiments through simulations built on your own data and knowledge sources. This lets you forecast the likely impact of your decisions before implementation, at very low cost. For example, we forecast customer reaction to a new product using statistically grounded ‘micro-personas’ built on our own PersonAI™ method.
Output: Persona cards, statistical evidence package, labeled dataset, benchmark report, persona simulation transcripts.
Can you evaluate consumer and stakeholder feedback in real time?
With the Continuous Listening Center™, we offer Turkey’s most comprehensive digital monitoring and analysis platform. Agentic UX Researcher™ scales your user research even further — at the industry’s best performance-to-price ratio.
Output: Weekly signal digest + real-time alerts + monthly executive summary.
You have the insight; how does it become effective action?
We stand beside you as you move from insight to implementation in your internal or consumer-facing AI-powered products and services. For example, we answer the question “Which LLM performs best for your chatbot?” with our own most comprehensive Turkish-language benchmark. Another example: since every company is now a media company, we guide your content production (GenAI) with reports and tools that pair human quality with AI power.
Output: Model selection report + cost projection + implementation plan.
Seven automated stages, with human oversight at every one. Every step is transparent and shared with you.
CSV, Excel, CRM exports, web analytics, survey results, review archives. We accept 12+ formats. No data cleanup is expected from you.
A local language model determines which of your columns are behavioral signals versus demographic or transactional. RFM patterns are detected automatically.
Numerical data is scaled, categorical data is encoded. Reviews and survey responses are processed with multilingual embeddings — capturing not just what the customer said, but what they meant.
UMAP dimensionality reduction + HDBSCAN density-based clustering. The algorithms do not impose a segment count — your segments emerge from the data.
Every segment gets a “Digital Twin Profile”: a statistical behavioral fingerprint spanning every variable. The language model writes a narrative tightly bound to that fingerprint; hallucination risk is scored.
Behind every claim: a p-value, a chi-square test, a bootstrap confidence interval, and verbatim quotes from source rows. If a cluster is too small to be reliable, we say so explicitly.
Structured persona cards, downloadable JSON/CSV, a dataset with every row tagged to its persona, and a benchmark report against your existing labels (LTV, conversion, CAC).
One card per segment: a memorable archetype name, behavioral signature, motivations, strategic opportunity, and recommended marketing approach. Formatted for client presentations.
A p-value, source rows, and confidence interval for every claim. Your answer to “where does this come from?” is ready.
Your original file comes back with two new columns: persona_id and persona_name. Ready for your CRM, BI dashboard, or next analysis.
Discovered segments are validated against ground truth: existing categories, churn labels, NPS tiers, or continuous outcomes (revenue, CAC). Your analytics team can verify it independently.
Ask a persona a question, get a first-person answer — grounded in the statistics of real cluster members, with a confidence score. Ideal for message testing, sales scenarios, and product interviews.
The full package is in your hands within a week: cards, evidence, labeled data, benchmark, and simulation. Ready for a board presentation.
We do not write personas from intuition. Every behavioral claim is backed by a statistical test. Meaningless differences are not hidden — they are flagged.
We run on a local LLM server; your data never leaves your infrastructure. Fully compliant with KVKK and enterprise data governance.
Web analytics, CRM exports, product reviews, survey responses, call transcripts: if it has rows and columns, we can segment it. Turkish + English + mixed-language support.
Your answer to “how confident are you in this?” is ready: confidence score, sample-size band, p-value, and verbatim quotes. Built for audiences who push back.
We do not stop at consulting; we build and operate the technology, and produce the outcome together with you.
Scattered data means blind decisions. We guide you in unifying data from CRM, web, mobile, and offline sources into a single platform; for every customer we build 360-degree, action-ready unified profiles.
We design custom architectures for intelligent assistants and AI-agent-driven workflows that predict customer behavior, generate marketing copy and content, and take automatic action by computing the customer’s next step.
Our proprietary algorithms personalize, in real time, the products, content, and offers your visitors see on your site or app — based on individual interests and past purchase behavior — measurably lifting conversion.
Every company is now a media company. We guide your content production with reports and tools that pair human quality with AI power: we use data to determine which topic resonates on which channel and in which tone, and build your production workflow on those findings.
Every industry has its own transformation equation. We adapt our solutions to the realities of yours:
Cart-abandonment recovery, cross-sell, and product discovery; RFM-powered behavioral segmentation that separates loyal high-LTV customers from price-sensitive one-time buyers.
Risk profiles, engagement patterns, and churn indicators; data governance that builds trust and loyalty. Continuous validation against your CAC and LTV columns.
Discover early and last-minute bookers and the content that drives conversion. Works directly with your GA4 and CRM data.
Churn prevention; unifying dealer/store experience and digital channels into a single customer view.
Combine purchase data with survey and social-media feedback. In food, we measure consumer preference with electronic tongue systems and sensory analysis.
From skincare to makeup, cross-channel campaigns tailored to user preferences; catch trend signals early with the Continuous Listening Center™.
Clustering by feature adoption, session frequency, and support topic; trial-to-paid conversion and 90-day churn-risk prediction.
Track content performance and audience segments in real time; predict subscriber churn and retain with personalized recommendations.
Add a data-driven persona deliverable to every client engagement within a week; differentiate with statistical evidence. White-label option available.
To make sense of scattered data, you first have to connect it — and that includes geospatial data in areas like supply chains. This has been our focus in recent engagements with public institutions, including a ministry and a metropolitan municipality.
The nodes and flows on the map are representative data generated to show how the geospatial data model we build actually works; they contain no real customer data. Toggle the types on and off to see how the network recalculates.
AI platforms are becoming the new search engines. Users no longer see ten blue links — they see a single answer. Does your name appear in that answer, where does it rank, and how is it described? We build the infrastructure to track AI search’s most critical metrics for you.
See the share of conversations where your brand is mentioned; understand how often you come up.
Understand your brand’s position within AI search results; uncover opportunities to improve your ranking.
Learn how AI perceives your brand: see what is going well and what needs fixing.
Track your ranking across the models that drive the most traffic and visibility.
See where you stand against the players that matter in your market.
How your brand is described in this question.
Capture the citations shaping your visibility and build your GEO strategy around them.
Brand mention is when an AI answer names your brand directly. Source attribution is when the answer is generated from your site or content, even if your brand is never named.
Tracking both answers two separate questions: does AI trust your content as a source, and does it recommend your brand? If one is present and the other is not, the work needed is different.
The brands, questions, and scores in the panel are representative data generated to show how the monitoring infrastructure we build actually works. Real measurement is carried out using the question set we define for your category and the models’ own live answers.
You do not need to overhaul your existing technology and tools. The solutions we build can be integrated within days into the platforms you already use.
Trademarks of their respective companies.
Six pillars that strengthen our value proposition:
The architectures and solutions we build are grounded in the latest scientific literature and the validated data and methodologies of international research organizations.
We design and run agile, cost-effective business experiments. For digital user surveys and behavioral research, we draw on the data-collection infrastructure of global platforms with broad reach.
Against rising cost projections for large language model (LLM) APIs, we develop data-sovereignty-based and financially sustainable technology transformation strategies for enterprises.
We test language models’ Turkish-language competency, reliability, and cultural alignment metrics with our own proprietary benchmark datasets, and report results in a format suited to your organization’s operational processes.
With Agentic UX Researcher™, we cut the cost of your user experience (UX) research by up to 85% — without sacrificing research quality.
We help you design user experiences that reinforce consumer trust, whose importance keeps growing in the AI era. We deliver our data-driven findings on consumer psychology and choice architecture through the validated MINDSPACE framework.
We use industry-specific biometric and neurotech measurement systems across physical and digital environments. In the food sector, we analyze consumer preference with electronic tongue systems that combine chemical sensors with machine learning. In UX research, alongside eye-tracking technologies, we draw on brain-activity measurement devices (EEG) that capture cognitive responses.
From qualitative to quantitative, from data to decision: each stage feeds the next.
We understand the true nature of the problem through in-depth interviews and field observation.
We examine your scattered data sources and design a cohesive, consistent database architecture aligned with your business goals.
We split audiences into meaningful clusters using validated algorithms, not subjective assumptions.
We make every segment model-ready with high-predictive-power features.
We quantify the likely outcomes of scenarios using statistical models.
We deliver the findings back to you as action-oriented intelligence that grounds your company’s executive decisions.
Guided by your business goals, we answer these together using scientific methods and data:
Which of my revenue streams are at risk from AI, and where are the opportunities?
→ AI Readiness Audit: a threat/opportunity matrix within 3 weeks.
What should my team prioritize, and where should we use AI?
→ Agentic Roadmap: a 90/180/365-day priority list with ownership.
Which LLM is right for us? How do I lower API costs?
→ Hybrid architecture + local model selection guide. Fixed TL price.
What are my competitors doing? How do I protect my advantage?
→ Micro-personas + Signal Center: test competitor scenarios before going live.
How does my company appear in ChatGPT, Claude, and Gemini?
→ We measure and improve it with an AI Assistant Visibility sprint.
How do I measure the ROI of my AI investments?
→ Benchmark report: independently verifiable results against LTV, conversion, and CAC.
How do I manage KVKK risk when exposing corporate data to LLMs?
→ On-premise local LLM deployment: your data never leaves your infrastructure.
We produce knowledge not just for our clients, but for the entire research ecosystem.
A privacy-first, AI-assisted data-wrangling application we built for researchers. Your data never leaves your organization; it is compiled, cleaned, and made research-ready with AI assistance. As an institute, we publish it open-source and free of charge.
We will send the summary report of our benchmark study comparing large language models’ Turkish-language competency, reliability, and cultural alignment to your inbox.
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