WE’LL HELP YOU BUILD
TOMORROW’S TECHNOLOGY:
From proof of concept prototyping to final production embedded software design, we are experts in Bluetooth projects; that’s why we’re recommended by industry leaders such as Nordic and Avnet AVID. PSL has partnerships with experts in various disciplines, ensuring a full product development experience for your project. Contact us to find out how PSL can serve you.
SEE WHAT SOME OF OUR CLIENTS ARE SAYING
I have seen the Pretty Smart Labs team quickly overcome within a short time challenging issues which the end customer has struggled with over a year and quickly get them to prototype testing.
The Pretty Smart Labs team has deep BLE knowledge, especially as it pertains to the Nordic family. I have seen their team respond with excellent timing to unexpected situations.
PSL’s expertise in Bluetooth Low Energy microcontrollers, sensor technologies, and mobile application development helped eyeQ develop a disruptive low-power retail display insights / big data solution in a time to market that others said was impossible.
Pretty Smart Labs was in a joint partnership with Telebiometrics to develop a bio-surveillance wearable device for the South Korean Intelligence Agency for Fintech and Military research project.
Pretty Smart Labs developed a phenomenal proof of concept for us and I would highly recommend their services to any Bluetooth oriented startup. I look forward to working with Antonio and his team again in the near future.
Pretty Smart Labs was instrumental in our implementation of an ultra-low power wifi solution that did not sacrifice functionality or user experience and ensured a long battery life in our Pani Smart Water Meter.
Services
CLICK BELOW FOR SERVICE DETAILS:
Full Stack IoT Development
- End to end architecture
- Embedded, RTOS, Bare Metal
- Sensors, Peripherals (Flash, IMU, Temp, Light, Pressure, SOC etc.)
- Low level comm. (I2C, SPI, USB, UART, etc.)
- ADC, DAC, PWM, I2S, NFC, PDM, etc.
- DSP for sound, inertia, etc.
- Mesh, Thread, Zigbee, WiFi, LTE
- MQTT, HTTP/S, TLS, Auth, Certs
- Cloud, Big Data, ML
- Home Automation Integration (Alexa, Google Assistant…)
- App (Android, iOS, web)
- Signal conditioning, feature extraction, ML training and edge inference
Bluetooth, WiFi, LTE IoT Solutions
- Asset Tracking
- Retail insight sensors
- Industrial IoT
- Indoor Location
- Predictive Maintenance
- Low Power wireless distributed sensors
- Health Wearables
- Bio Sensors
DFM Stages
- Proof Of Concept
- MVP Prototype
- Production Ready
Documentation
- Design Book
- Source Code Documentation
- Manufacture Documentation
- User Manuals
- Engineering Book
Testing
- Proof of Concept Assertions
- MVP Integration
- Rapid Development Regression Testing
- Pre/Post manufacturing testing
aI Services
CLICK BELOW FOR SERVICE DETAILS:
Machine Learning (ML) (Core Algorithms and Models)
- Supervised Learning
- Regression
- Classification
- Logistic Regression
- Support Vector Machines (SVM)
- Decision Trees
- Random Forests
- K-Nearest Neighbors (KNN)
- Time Series Forecasting
- Unsupervised Learning
- Clustering (e.g., K-Means, DBSCAN)
- Dimensionality Reduction (e.g., PCA, LDA, t-SNE)
- Association Rule Mining
- Deep Learning
- Convolutional Neural Networks (CNN)
- Image Recognition
- Object Detection
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory (LSTM)
- GRU (Gated Recurrent Units)
- Transformers (for sequence modeling, NLP tasks)
- Vision Transformers (ViT)
- Neural Architecture Search (NAS)
- Convolutional Neural Networks (CNN)
- Ensemble Learning
- Bagging (Random Forest)
- Boosting (Gradient Boosting, XGBoost)
- Stacking and Blending
- Probabilistic Models
- Bayesian Networks
- Naive Bayes
- Bayesian Neural Networks
- Heuristics & Metaheuristics
- Genetic Algorithms
- Particle Swarm Optimization
- Ant Colony Optimization
Generative AI (Creation and Customization)
- Large Language Models (LLMs)
- OpenAI – GPT
- Meta – Llama
- Anthropic – Claude
- Google – Gemini
- Pre-Training and Fine-Tuning
- Custom LLM Fine-Tuning (Product & Company-Specific)
- Retrieval Augmented Generation (RAG)
- Reinforcement Learning from Human Feedback (RLHF)
- Generative Models
- Generative Adversarial Networks (GANs)
- Diffusion Models (for image and text generation)
- Variational Autoencoders (VAE)
- LLM Infrastructure and Management
- LLMOps (Managing and deploying LLMs at scale)
- Semantic Search (Using LLMs for search optimization)
- Custom Chatbot Development (Based on LLMs)
- Multimodal LLMs (Text, Image, and Audio synthesis)
- Prompt Engineering (Designing prompts to optimize AI outputs)
- Evaluation of LLMs
- End-to-End LLM Architecture
- Model Performance Tuning & Evaluation
Data Mining and Data Engineering (Data-Driven Decisions)
- Data Management
- Data Lake Management
- DataOps (Automating Data Workflows)
- Data Orchestration
- Data Normalization & Cleaning
- Pattern Discovery
- Clustering
- K-Means
- DBSCAN (Density-Based Spatial Clustering)
- Anomaly Detection
- Isolation Forest
- Local Outlier Factor (LOF)
- Autoencoders
- Clustering
- Dimensionality Reduction
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- t-SNE (t-distributed Stochastic Neighbor Embedding)
- Multiple Correspondence Analysis (MCA)
- Text Mining & NLP
- Sentiment Analysis
- Text Classification
- Topic Modeling
- Named Entity Recognition (NER)
- Recommendation Systems
- Collaborative Filtering
- Content-Based Filtering
- Hybrid Recommendation Systems
Computer Vision (Visual AI Solutions)
- Digital Image Processing
- Image Restoration (Denoising, Super-Resolution)
- Image Enhancement (Sharpening, Color Correction)
- Object Detection and Tracking
- Real-Time Object Detection (YOLO, SSD)
- Multi-Object Tracking
- Image Classification
- Classification with CNNs
- Transfer Learning (Using Pre-trained Models)
- 3D Vision
- 3D Reconstruction (Structure from Motion, NeRF)
- Depth Estimation (LiDAR, Stereo Vision)
- Object Recognition in 3D Space
- Video Analysis
- Action Recognition
- Optical Flow
- Video Summarization
- Facial Recognition and Pose Estimation
- Face Detection and Recognition (OpenCV, DeepFace)
- Human Pose Estimation (OpenPose)
- Augmented Reality (AR) / Virtual Reality (VR) Integration
AI Infrastructure and Cloud Integration
- AI on the Cloud
- AWS AI & ML Services (SageMaker, Bedrock)
- Google Cloud AI
- Azure AI Services
- MLOps (Machine Learning Operations)
- Model Deployment (Kubernetes, Docker)
- Continuous Integration/Continuous Deployment (CI/CD) for ML Models
- Model Monitoring & Logging (Prometheus, Grafana)
WHO WE ARE
Pretty Smart Labs is a team of expert bluetooth full stack developers.
We have also partnered with industry experts so no piece of your project is overlooked.
Our partners work together to ensure every element of your project flows together smoothly.
Let’s get to work:
Tell our experts about your project so together we can create a solution that will bring your idea to life.