Since 2015, we have been empowering global teams to design, build, and deliver reliable software solutions.

Today, Pykara is an AI-driven technology studio—developing intelligent systems that blend modern web stacks with large language models (LLMs), speech technologies, and advanced data pipelines to drive smarter digital transformation.

An AI-enhanced language learning for schools

Py-Learn is an interactive, AI-driven tutor for language skills. It combines speech recognition, fine-tuned evaluation, and adaptive lesson logic so students can practise grammar, reading, listening, speaking, and writing—at home or in class. All guidance is aligned to the school syllabus, providing consistent learning paths across grades.

Learning adapts to each student. After every response, Py-Learn evaluates performance and unlocks the next level of practice at the right difficulty. Across all modules, the system also guides the learner deeper into the selected subject, presenting related sub-topics step by step with clear navigation to return to the main topic at any time. This keeps progress focused, structured, and measurable.

Py-Learn strengthens classroom connection: the teacher’s real voice can narrate any screen, and an optional tutor video can appear inside activities so the teacher avatar explains answers in real time. Content is syllabus-locked by default; requests outside the assigned curriculum are politely declined unless a school admin enables an approved extension. The platform supports SSO and LMS/MIS integration, runs securely in cloud or on-premise environments, and is privacy-first—GDPR-ready with encryption and role-based access.

Key Capabilities:

• AI-driven lessons across grammar, reading, listening, speaking, and writing.

• Adaptive progression—next questions and tasks adjust to current skill and recent answers.

• Subject drill-down across modules—enter a topic, explore deeper sub-topics, return to the main list easily.
• Pronunciation coach with real-time feedback using speech recognition.
• Personalised practice with spaced review for long-term retention.
• Teacher dashboards with progress, common errors, and recommended actions.
• Teacher voice playback available across modules (on/off).
• Tutor video inside activities—teacher avatar explains answers (on/off).
• Syllabus lock by default; polite denial of off-syllabus queries; admin override available.
• Homework mode and classroom mode for flexible use.
• Integration-ready via APIs; export to LMS/MIS; SSO options.
• Privacy & security: GDPR-ready, encryption, and role-based access.
• Multi-language roadmap (European languages) with reusable models.

An AI-based personality and compatibility analysis

Py-Match evaluates how people think, communicate, and work using the Brain-Colour model (Red, Blue, Green, Yellow) together with modern NLP. It supports three use cases: marriage/dating, hiring/role fit, and business partnerships. Users provide a profile and preferences, then answer an adaptive set of scenario questions. Py-Match builds a colour-based personality profile and compares it with potential matches or role templates to produce a compatibility score with clear reasons, likely friction points, and practical suggestions for both sides. Reports are generated as shareable PDFs.

Under the hood, Py-Match combines validated questionnaires with AI-assisted scoring. Question sets are tailored by context (e.g., marriage versus hiring), and the difficulty and focus adapt based on prior answers. The system explains every match with strengths, risks, and example situations, helping users understand why two people align or where they may disagree. For hiring, role templates map traits to job competencies so recruiters can shortlist and compare candidates quickly and fairly.

Privacy and ethics are built in. Data is processed securely with GDPR-ready controls, encryption in transit and at rest, and optional SSO for organisations. We avoid sensitive attributes that could bias outcomes, and we provide transparent guidance so results are used as decision support, not as the sole basis for important life or employment decisions.

Key Capabilities

• Use-case modes: Marriage/Dating, Hiring/Role Fit, Business Partnerships.

• Profile + preferences intake: personal details and expectations captured once.

• Adaptive questionnaire: 20–40 scenario questions tailored to the user and context.

• Colour profile output: Red/Blue/Green/Yellow percentages with trait summaries.

• Compatibility scoring: strengths, risk areas, and alignment heatmap.

• Actionable advice: coaching tips and adjustments for both sides.

• Role templates (hiring): map profiles to job competencies; shortlist candidates.

• Multi-candidate ranking: compare and filter potential matches quickly.

• Shareable reports: concise PDF with score, rationale, and next steps.

• Privacy & integration: GDPR-ready, SSO options, CSV/API import for organisations.

An AI-assisted truth and behaviour analysis

Py-Detect helps investigators run structured interviews by combining speech analysis, language understanding, and body-language signals. The system asks context-aware questions, listens to the answers, and analyses non-verbal cues from video—tone, pace, micro-expressions, gaze, and posture—to highlight patterns that may require deeper follow-up.

For each session, case details and suspect profiles can be imported, and Py-Detect generates an adaptive question plan. During the interview, it provides real-time indicators and timestamps notable moments. Afterward, it produces a concise report with scored indicators, short clips, and explanations so investigators can review evidence quickly and consistently.

Py-Detect is designed as decision support—not a lie detector or proof of guilt. Human review is always required. The platform includes audit trails, encryption, role-based access, and GDPR-ready processing to protect sensitive data.

Deployment and fit: Py-Detect runs on secure cloud or on-premise environments, supports multilingual interviews, and can integrate with existing case-management systems via APIs. Teams can calibrate models to local procedures, add custom question banks, and track model performance over time, ensuring the tool adapts to lawful use, policy standards, and the needs of each agency.

Key Capabilities:

• Adaptive interview engine – context-aware questions based on case data and prior answers.

• Multimodal analysis – voice tone, wording, timing, and body-language cues from video.

• Real-time indicators – live flags and timestamps of moments that merit follow-up.

• Post-session reports – scored indicators with explanations, clips, and transcript highlights.

• Case & evidence management – attach documents, chain-of-custody logs, and reviewer notes.

• Calibration & benchmarks – session baselines and quality checks to reduce false signals.

• Reviewer workflow – second-opinion review, redaction, and approval steps.

• Integrations & export – API, PDF/CSV/MP4 export; SSO for secure access.

• Security & compliance – encryption in transit/at rest, role-based access, GDPR-ready.

• Ethical guardrails – human-in-the-loop by design; the system supports decisions and never replaces them.

We deliver secure, production-ready web and AI systems using a modern stack and disciplined engineering.

AI & Data

• Azure OpenAI / OpenAI for LLMs; Retrieval-Augmented Generation (RAG)

• Vector search with Azure AI Search (or Qdrant when needed)

• Speech: Whisper (STT) and TTS for narration

• Python or .NET orchestration for inference pipelines

• Evaluation & guardrails: prompt versioning, basic safety filters, citation checks

Web & APIs

• Angular (v17–18), TypeScript, responsive UI and accessibility

• .NET 8 minimal APIs / ASP.NET Core; REST (and GraphQL when required)

• SQL Server 2022 as the primary database; Redis for caching

• Authentication & SSO: OAuth 2.1 / OIDC (Microsoft Entra ID/Google)

• Integration patterns: webhooks, background jobs, file processing

Cloud, DevOps & Quality

• Microsoft Azure as primary cloud (App Service, Functions, Storage, Azure SQL, Key Vault)

• Container-ready with Docker; AKS only when scale requires

• CI/CD with GitHub Actions or Azure DevOps

• Monitoring & logs: Application Insights (with dashboards and alerts)

• Testing: xUnit/NUnit (backend), Playwright/Cypress (UI)

Security & Compliance

• Role-based access, secrets in Key Vault, least-privilege by default

• GDPR-ready processing; DPA on request

• OWASP ASVS controls; encryption in transit (TLS) and at rest

• Code reviews, dependency scanning, audit logs for changes

Here’s how we ensure value at every step:

Skilled Workforce: Our team brings senior front-end, back-end, and AI engineers who have shipped production systems for many years. Each project has a clear owner, a technical lead, and named reviewers, so work moves without delay. Designers and developers sit together from the start, which avoids rework later. We write readable code, follow style guides, and review every change before it reaches your environment. You get progress updates in plain English and a single point of contact for decisions. When needed, we add specialists—for example, data engineers, cloud architects, or security reviewers—so you receive the right skills at the right time. The result is steady output, fewer surprises, and software that is easy to maintain.

 Methodical Development: We begin with a short discovery to agree on goals, scope, and success measures. User stories, acceptance criteria, and edge cases are written up front. We design APIs and data models first, then confirm UI states with wireframes. Quality is built in through automated tests, static analysis, and repeatable builds. Each change links to a ticket and a pull request, giving a full audit trail. We stage features behind feature flags and use test data to validate flows without touching live records. Before release, we run performance checks, security scans, and accessibility reviews. Clear handover notes and run-books make support simple for your team.

Agile and Adaptive: We work in one- or two-week sprints with a fixed cadence: planning on day one, a mid-sprint check, and a demo at the end. You see working software early and often, not long documents. Priorities can change between sprints without derailing delivery. Risks are tracked in a simple register with owners and due dates. We measure lead time, deployment frequency, and defect rates, and we adjust the plan when data suggests a better path. Time-zone overlap with Europe, North America, and Australia is built into our schedule for fast feedback. Releases are small, reversible, and safe, so you get value sooner with lower operational risk.