DikTech Solutions
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Software products · Software solutionsDikTech LLC · New Mexico, USA

AI-powered software products.
Software solutions for real business problems.

DikTech LLC develops digital products including Tirtil.ai. ErenAILab is its AI research and content initiative.

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01 / Software products

Digital products,
focused experiences.

DikTech LLC builds digital software products around specific user needs, with a clearly defined product scope and delivery model.

Product · 001AI-powered YKS education platform
Tirtil.ai

A personal YKS study system.

Tirtil.ai is an AI-powered YKS education platform that learns a student's level, plans their study, and schedules review.

Type
Digital education platform
Developer
DikTech LLC
02 / Software solutions · Selected systems

Applied AI systems
that strengthen decisions.

DikTech Solutions designs custom systems that combine data, AI, and human judgment for operational problems.

Anonymized system notes · Scope shared by the user

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DT—01Commercial intelligence

From email intent to adaptive proposals

Problem

Understand product fit and buying intent from the context of an incoming request, beyond a few keywords.

System approach

An analysis layer separates interest, need, and context signals, then presents a proposal range and its rationale to the sales team.

DT—02Fleet intelligence

Fleet expense anomaly investigation

Problem

Identify spending that differs from the expected route, duration, and vehicle-use context, then investigate plausible reasons.

System approach

Location and movement signals are aligned with expense records on a shared timeline to surface unusual cases and their context.

DT—03Financial planning

Financial scenario forecasting

Problem

See how sales, cost, exchange-rate, and collection assumptions may change cash flow without relying on a single forecast.

System approach

A scenario engine combines historical patterns with business assumptions and compares base, upside, and stress cases.

DT—04Operational reliability

Data-quality-aware predictive maintenance

Problem

Anticipate maintenance needs without overstating confidence when sensor data is incomplete, irregular, or fragmented.

System approach

Data continuity, outliers, and sensor reliability are evaluated before failure patterns are scored with uncertainty context.

DT—05 → DT—12Open the DikTech solutions catalogue
03 / ErenAILab · Research and content initiative

One curiosity.
Three ways to tell it.

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01Research

I research.

I trace current AI news, new papers, and industry developments back to their primary sources.

02Visual story

I visualize.

I turn complex technologies into clear, sourced, visual stories.

03Live build

I test live.

I build AI demos live and show both what works and where the technology struggles.

04 / Research notes · Method

From a claim in the news
to a clear story.

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  1. 01

    Scan the field

    Choose the question that matters among model releases, research papers, and current AI news.

  2. 02

    Trace the source

    Follow each claim to its paper, data, and technical context.

  3. 03

    Test it live

    When possible, challenge the idea with a small working demo.

  4. 04

    Build the story

    Turn the research into a visual video, X notes, or a transparent live build.

05 / Founder

Mehmet Eren Dikmen

“I research what is changing in AI, test it, and turn it into clear stories.”

ErenAILab is DikTech's research and content initiative. DikTech Solutions is the DikTech LLC brand that builds software products and custom software solutions.

06 / Contact

Let's open the
next story together.

Get in touch about a software product, an organizational solution, or a collaboration.

eren@diktechsolutions.comExplore the solutions catalogue