Sparkling Neuronics

Basic

Principal-led AI architecture advisory for enterprise technology leaders

Company overview Locations Delivery mix Languages Service lines Industries Technologies Vendor partnerships Case studies Indicative rates Certifications & standards Leadership Partner insights Event presence Social networks

Company overview

employees

2025

founded

Principal-led, vendor-independent advisory for enterprise technology leaders. We help you make the right calls on AI, architecture, vendor selection, program rescue, and delivery assurance.

Sparkling Neuronics Labs is a principal-led, vendor-independent advisory practice for enterprise technology leaders and investors - AI strategy, architecture, modernization, and technical due diligence. Engagements span the lifecycle: architecture diagnostics, AI estate scans, project rescue, opportunity assessments, vendor selection, peer review, solution architecture, modernization roadmaps, delivery assurance, and principal architecture retainers. Each engagement is sized to a specific decision. The output is a written brief with diagnosis, evidence, and a recommendation. Founded in 2026 by Dimitar Stoyanov - both sides of the table - nine years client side inside European insurance and banking, seven years vendor-side at a tier-1 strategy consultancy and a listed European digital service firm, reaching Global VP of AI. Hands-on AI builder with practical depth across industries.

Contact details

Business info

Publicly traded: No
Majority shareholders: Management & Employees

Locations

Plovdiv, Bulgaria

Headquarters

Founded2026

Employees1

Plovdiv, Bulgaria

Engagement & delivery mix

Projects & services55%

Commercial modelMostly Fixed-price

Managed & dedicated teams20%

Staff augmentation5%

Buy-out optionLimited (terms tbd)

Build-Operate-Transfer20%

Language capabilities⁰

No language capabilities data available.

Service lines

Artificial Intelligence (AI)40%

Technology Advisory25%

Solution Architectures20%

Application Modernization15%

Industries

Technology60%

Financial Services40%

Technologies

Agentic AIagentic AI systemsAI agentsAI governanceAI solutionsAI toolingAI-assisted developmentAI-generated codeAmazon Web Services (AWS)API architecturesArtificial Intelligence (AI)Azure AIChatbot & Virtual AgentChatGPTClaudeClaude CodeCloud AI platformsCloud infrastructureCloud-based AI platformsEnterprise ArchitectEvent-driven architecturesGoogle Cloud Platform (GCP)Jakarta EE (J2EE)JavaMicroservices architectureneo4jPythonRetrieval-Augmented Generation (RAG)SpringVector Databases

Vendor partnerships

No vendor partnerships data available.

Case studies

Enterprise AI Code Intelligence Platform

Led concept-to-production of an enterprise AI code intelligence platform that cut legacy-modernization discovery from weeks of manual analysis to days. Combined agent workflows for code parsing, dependency mapping, and business-logic extraction with retrieval over semantic and structural data. Scaled the team to 16+ AI engineers; validated through 50+ enterprise conversations and 10 pilots.

AI Strategy & Readiness Assessments

Pragmatic AI and GenAI readiness assessments for enterprise leadership teams. Analysed business needs, data, and architecture; ran ideation workshops; prioritised use cases against value, feasibility, data readiness, and delivery complexity. The strongest output was decision clarity — distinguishing real AI opportunities from technology theatre.

Architecture Review of a AI-Built Platform

A technical founder used AI tools to build a consumer platform from scratch. Shipped, paying customers, product-market fit proven. Then a major commercial opportunity arrived. The founder wanted an independent review before committing. AI-augmented assessment across seven dimensions found seven recurring patterns: open doors at the protocol level, client-side authority with no server verification, no resilience to operator interruptions, silent failures showing green during outages, 1,000+ tests that did not exercise production code, a scaling ceiling that was actually a settings change, and a codebase built for one developer. Product was sound. Path forward was targeted hardening, not a rewrite. Delivered a three-horizon remediation roadmap. Client moved to implementation.

Indicative rates

Certifications & standards⁰

Sparkling Neuronics has declared they do not currently hold any formal certifications or compliance standards.

Leadership

Dimitar Stoyanov

Founder & Principal Architect

Partner insights

No insights data available.

Event presence

No current event presence published on transparencywins data available.

TransparencyWins ecosystem context

This software engineering partner profile was contributed by Sparkling Neuronics, a software engineering partner represented in the TransparencyWins ecosystem. TransparencyWins connects expert contributions with provider profiles, case studies, certifications and other capability signals so that tech buyers can better understand and compare potential software engineering partners.Profile completion levels reflect how completely required profile sections have been populated — they are not a quality, capability or suitability rating.