AI that works for your business. Not the other way around.
We help mid-market companies in Europe cut through the noise, identify where AI actually moves the needle, and build solutions that deliver measurable results — without locking you into a single platform or vendor.
Years Combined GenAI Experience
Years in Data Science & Engineering
Industries Built In Production
Vendor Neutral — No Platform Lock-in
Stop guessing where AI fits. Know exactly.
A proprietary org-wide AI gap analysis — deployed to your entire organisation in days. Every department mapped, every opportunity surfaced, with ROI estimates ready for the boardroom.
Deploy the Survey
A conversational AI chatbot sent across your organisation. Every team member answers questions relevant to their role — no IT setup, no training required.
AI Identifies the Gaps
Our AI analyses every response, spots patterns, and surfaces automation opportunities you didn't know existed — aggregated across departments.
Executive Report
A prioritised roadmap with ROI estimates, time-spent data, and concrete build recommendations. Ready for the boardroom.
Why Successight
Built different. By design.
We start with your problem, not a product.
Most AI vendors have something to sell. We don't. We work with Claude, ChatGPT, Gemini, Mistral, open-source models — whatever fits your use case, your data, and your budget. Our only interest is what actually works for you.
Strategy + execution, not just slides.
We don't hand you a roadmap and disappear. From identifying the right use cases to deploying production-ready systems, our team stays in it with you — through pilots, integrations, and the messy middle of actually making AI work in your business.
We pioneered this. Before it was mainstream.
Our team was among the first in the EEA region to deploy LLMs in production — with live systems running in 2023, long before most organizations were even evaluating the technology. We've built AI across contact centers, fintech, back-office operations, and analytics environments, and were spearheading GenAI enablement in the organizations we worked in. We know what tends to fail, why, and how to avoid it.
On-premise AI. Your data stays yours.
We have deep experience selecting, deploying, and optimizing open-source models on local hardware. From GPU configuration to inference tuning, we can run capable LLMs entirely within your infrastructure — no cloud calls, no data leaving your environment, no third-party exposure.
Services
What we build
Three focus areas. Each one designed around a real business problem, not a technology trend.
Built-to-fit AI systems and integrations
AI BI & NL2SQL
Ask your data anything. In plain English.
NL2SQL lets anyone — executives, PMs, ops leads — query your data warehouse in plain English and get accurate results instantly. No SQL knowledge needed. Product teams can dynamically generate dashboards, slice data on the fly, and move from question to insight in seconds. A massive performance boost for any data-driven organization.
- ›Natural language interface over your data warehouse
- ›Dynamic dashboard generation — no SQL needed
- ›Role-based access controls and query audit log
- ›Frees your data team from ad-hoc report requests
- ›Huge productivity unlock for non-technical teams
Best for: Companies where BI is bottlenecked by the data team. Any org with non-technical leadership needing fast data access.
Agentic Automation for your Customers
Give your customers an AI that actually does things.
In-app agentic AI workflows let your customers complete real tasks — through natural conversation. Give the agent access to your internal systems and it handles interactions end to end: processing requests, providing updates, reducing support load. The result: customers understand your product better, get faster outcomes, and need less hand-holding.
- ›In-app agentic workflows embedded in your product
- ›Agent access to your internal systems and APIs
- ›Reduces support ticket volume and handle time
- ›Increases product engagement and self-service rate
- ›Better customer understanding of product capabilities
Best for: Product companies looking to reduce support load, increase engagement, and give customers a faster path to outcomes.
MCP Integrations
Connect your LLM to everything it needs to know.
Model Context Protocol (MCP) lets AI assistants connect to your live systems — CRM, ERP, docs, project trackers — in real time. We build custom MCP servers tailored to your stack and integrate existing ones. Your AI stops working from memory and starts working from facts.
- ›Custom MCP server development for your systems
- ›Integration with existing MCP-compatible tools
- ›Real-time access to CRM, project management, and docs
- ›Works with Claude, ChatGPT, and other LLMs
- ›Turns a general AI into a company-aware colleague
Best for: Teams whose AI tools feel disconnected from their actual work and data.
Custom AI Solutions & Integrations
When off-the-shelf does not fit your shape.
We build fully custom AI solutions — RAG systems, fine-tuned models, full-stack AI applications — and integrate them with your existing tools, data, and infrastructure. On-premise deployment available for data-sensitive environments.
- ›RAG systems over internal documents and knowledge bases
- ›Fine-tuned models for domain-specific tasks
- ›AI-powered internal tools and dashboards
- ›CRM, ERP, and data warehouse integrations
- ›On-premise deployment for data-sensitive environments
Best for: Companies with specific data, workflows, or compliance requirements that off-the-shelf AI cannot address.
Case Studies
Real problems. Measurable results.
AI BI — NL2SQL Implementation
Challenge
Business intelligence locked behind the data team. Executives waiting 2–5 days for custom reports. Non-technical leads unable to self-serve any data.
What we built
NL2SQL interface over their data warehouse — plain English questions translated to accurate SQL, executed in seconds. Role-based access and query audit log. Product team now generates dashboards dynamically without engineering involvement.
80%
of data needs self-served
Days → seconds
time to insight
90%
data team freed from ad-hoc
MCP Integration
Challenge
AI assistants had no access to CRM, project tracker, or internal docs. Every session started from scratch. Context lost, time wasted.
What we built
Custom MCP server connecting Claude to their CRM, internal wiki, and project management platform. AI now retrieves live client data, project status, and docs in real time — without leaving the conversation.
Real-time
access to all client and project data
Zero
context-switching between tools
Hours/week
of context-gathering eliminated
AI Code Review System
Challenge
Agentic coding tools tripled PR volume. Senior reviewers became the bottleneck. Review SLA missed every week.
What we built
AI-assisted code review layer — automated first-pass catching security vulnerabilities, anti-patterns, and test coverage gaps. Reviewers get a pre-triaged summary. 10x cheaper than comparable tools with higher detection accuracy.
90%+
bug & security issue detection
12%
false positive rate
50%+
review time cut per PR
AI Enablement for Product Team
Challenge
PMs spending the majority of their time on spec writing and research synthesis instead of product decisions.
What we built
Claude Cowork integrated with Google Workspace and Notion. Custom prompt playbooks for PRDs, user research synthesis, and competitor analysis. MCP integration with product analytics.
60%
PRD drafting time cut
1 day → 2h
research synthesis (10+ interviews)
3 features
shipped in time it took to spec 2
Privacy & Security
Your data stays yours.
That's not a policy — it's how we build.
Data privacy and security aren't features we add at the end. They're constraints we design around from day one.
Zero data retention, where possible.
When we use AI APIs, we configure them with zero-retention agreements. Your data is processed and not stored for model improvement or reuse. We review this per provider and per project — and we tell you exactly what's possible.
No client data used for model training.
Under enterprise API agreements, your data is never used to train third-party models. We use the right API tier and document this explicitly in every engagement.
PII detection and masking before AI processing.
Before any customer or employee data reaches an AI model, we apply PII detection and masking. Names, identifiers, financial data — stripped or pseudonymized at the pipeline level.
EU AI Act compliance, built in.
We include EU AI Act compliance guidance in every project: risk classification, transparency requirements, human oversight design, and documentation — as part of how we architect the system.
Audit trails and explainability included.
Every system we deploy logs what happened, why, and what the AI decided. You can answer 'how did this decision get made?' — to your team, your clients, or a regulator.
On-premise and private cloud deployment available.
For use cases with sensitive data or strict data residency requirements, we deploy entirely within your infrastructure. No third-party API calls. No data leaving your environment.
10+
Years combined GenAI experience
15+
Years in Data Science & Engineering
IESE
MBA — Top 5 business school globally
3
Team members, zero bloat
About Us
Successight is new. Our team isn't.
Three people. 10+ years of combined GenAI experience. 15+ years in Data Science and Data Engineering — long before large language models went mainstream. We were among the first teams in the EEA region to put LLMs into production, with live systems running in 2023, and spent years spearheading GenAI enablement inside the organizations we worked in. We've built AI platforms for contact centers, fintech, back-office operations, and production data pipelines at companies you've heard of. Now we bring that depth — without the consultancy overhead.
What we believe
- ✓AI should reduce complexity for your team, not add it
- ✓Pilots should prove something before you scale
- ✓Data quality is the unglamorous work that determines whether everything else succeeds
- ✓The best AI system is the one people actually use
- ✓Privacy isn't a feature — it's a baseline expectation
Based in Sofia. Serving clients across Europe. Small team, serious work.
The Team
Co-founder & Engineering Lead
LLM engineer with a decade of hands-on AI work. Has built production GenAI systems across Telco, Fintech, a leading Crypto company, and a Hedge Fund. Specialises in contact centre AI, enterprise automation, and data pipelines.
Co-founder & Senior AI Engineer
Deep Data Science background before pivoting to GenAI full-time. Has shipped production AI at an audio streaming company, a fintech, and a smart home automation company. Specialist in multi-agentic systems, RAG, and model evaluation at scale.
Co-founder & Head of Strategy
MBA from IESE Business School. Former GenAI Value Engineer and strategic advisor to senior leadership in Banking and Investment Banking. Bridges the gap between AI capability and measurable business ROI.
Ready to figure out where AI actually fits in your business?
We offer a free 30-minute AI Readiness Call — no pitch, no proposal unless you want one. Just an honest conversation about where you are, what you're trying to do, and whether we can help.
Or email us: team@successight.ai