What AI discovery helps you solve
Hidden

automation gaps
Product has bottlenecks that look automatable — but no one’s sure how
01
Idea
execution gap
AI ideas are floating, but nothing gets shipped
02
Unusable
insights
Data exists, but isn’t useful
03
Tech debt 
bottleneck
Infrastructure isn’t ready for AI workloads
04
Our 6-step
AI discovery framework
01
Business needs & use-case scoping
Goal: Identify, refine, and prioritize high-impact AI opportunities that are feasible given the client's data, tech stack, and operational reality
Kickoff & alignment
Stakeholder interviews & process mapping
Use case workshops
AI readiness assessment
Gap, risk & constraint mapping
02
Data & Infrastructure review
Goal: Assess data and infrastructure foundations required to support scalable, compliant, and efficient AI systems
Infrastructure map
Ground truth summary
Data readiness scorecard
Privacy checklist
Metadata snapshot
Access policy map
Ownership table
Governance document
Business
outcomes
Strategic clarity
Stakeholders align on business problems AI can solve
Feasibility-risk map
Highlighted blockers, missing data, integration needs before any dev begins
Prioritized AI backlog
5–10 mapped and scored use cases with stakeholder buy-in
Investment readiness
A presentation-ready set of materials to unlock budget for MVP phase
Key takeaways
after discovery process
Clear, actionable outcomes from discovery — from architecture
and risk mapping to MVP scope, roadmap, and responsible AI framework.
Architecture & data foundation Blueprint
An enterprise-grade architectural proposal backed by real data audits, with integration pathways, infrastructure limits, and security controls laid out.
AI opportunity
& Risk map
A clear understanding of where AI fits, which use cases have business potential, and where key risks or blockers exist.
Ready-to-Build MVP scope
A production-aligned MVP spec with personas, inputs/outputs, success metrics, and integration points.
Business case & roadmap for AI adoption
A stakeholder-ready roadmap and ROI model showing phased implementation, projected value, and measurable goals.
Responsible
AI framework
Actionable governance, security, and monitoring design aligned with real-world LLM risks.
"Radency's team demonstrated a high level of professionalism, creativity, and attention to detail."
— Stanislas Walch, CEO
AI development technologies & tools
We use modern AI, cloud tools, and frameworks to create fast, scalable software that's easy to integrate and helps drive innovation.
Languages & ML frameworks
Python
TensorFlow
PyTorch
Generative models
OpenAI
Gemini
Claude
Mistral AI
Llama
Speech & text processing models
Whisper
DeepSpeech
Hugging Face
MLOps & ML infrastructure
Apache Airflow
mlflow
Kubeflow
AI databases & vector stores
Pinecone
BERT
Qdrant
Milvus
AI & Cloud platforms
Google Cloud AI
AWS SageMaker
Azure Machine Learning
AI in action: helping our clients move faster and smarter
AI-Powered Collaboration Platform
AI
TypeScript
PostgreSQL
Docker
Smart AI Assistant for expert collaboration built to streamline interactions using intelligent automation. By applying advanced machine learning and NLP, the platform enables instant, context-aware responses and recommendations. It seamlessly integrates with popular business tools and messengers, driving faster, smarter communication at scale.
ChatGPT-powered documentation chatbot
AI
ChatGPT
ChatBot
The platform efficiently assists users in finding and understanding relevant information within a designated knowledge base. The primary objectives are to enhance user experience by streamlining the information retrieval process, reducing the time users spend searching for documentation.
.avif)
.avif)
Automated optical inspection solution
AI
Angular
Python
Azure
Automated Optical Inspection (AOI) solution employs cutting-edge deep learning models to deliver fast, precise, and reliable quality control for manufacturing and assembly lines. Equipped with real-time object detection and anomaly recognition, the system can identify even the smallest defects on complex, varied, or reflective surfaces, ensuring that only high-quality products make it to market.​
Contact our AI experts

for evaluation of your project
AI platform
Real-time insights
Object tracking
Video analysis
AI discovery
for video analysis platform
The platform delivers real-time, data-driven insights using AI to detect, recognize, localize, and track industrial and military objects empowering users to make informed decisions in critical moments.
70%
reduction in steps needed 
to complete core tasks
20+
faster labeling process 
with AI-assisted flow
60+
user satisfaction with the new interface, based on initial testing
Service packages
Quick discovery
Deliverables
• Use case workshop

• PoC fit analysis

Timeline
5–7 days
Target client
Startups / MVP phase
Full discovery
Deliverables
• Data audit

• Architecture

• Roadmap
Timeline
2–3 weeks
Target client
Product teams / Mid-size
Enterprise AI plan
Deliverables
• Roadmap

• Security

• Integration design
Timeline
4+ weeks
Target client
Mid-size
Deliverables
• Everything in discovery

• MVP development

Timeline
Custom
Target client
Long-term engagements
Discovery + build
Real AI impact starts with real engineering talent. That’s our edge.
Nikita Semenistyi
Co-CEO, Radency