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Technologies
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Data Engineering & Streaming
- Detect Industrial Equipment Anomalies in Real Time with Flink Agents and Apache Kafka
- Ingest Manufacturing Sensor Streams into a Data Lakehouse with Redpanda and PyIceberg
- Process IIoT Sensor Streams at the Edge with Bytewax and Polars
- Stream IoT Sensor Data into Lakehouse Tables with Kafka and Flink CDC
- Analyze Edge Sensor Data with DuckDB and Polars
- Build Manufacturing Data Pipelines with dbt and Apache Spark
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Document Intelligence & NLP
- Extract Structured Fields from Manufacturing Invoices with PaddleOCR and Docling
- Build a Technical Specification RAG Pipeline with Docling and Haystack
- Classify and Extract Compliance Documents with Unstructured and spaCy
- Extract Technical Drawings from PDF Specs with PyMuPDF and Supervision
- Classify Manufacturing Regulations with LayoutParser and Haystack
- Process Warranty Claims with Marker and spaCy NER
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LLM Engineering & Fine-Tuning
- Fine-Tune Industrial Domain LLMs 12x Faster with Unsloth and Hugging Face TRL
- Extract Structured Equipment Diagnostics from LLMs with DSPy and Instructor
- Optimize Industrial Knowledge Base Retrieval with LlamaIndex and DSPy
- Retrieve Equipment Documentation with LangChain RAG and 4-Bit Quantized Models
- Align Manufacturing Domain LLMs with RAG and Reinforcement Learning Feedback
- Semantically Search Equipment Specifications with Neo4j Knowledge Graphs and Transformers
- Quantize Industrial LLMs with PEFT and Unsloth Studio for Edge Deployment
- Align Industrial LLMs with RLHF and Hugging Face TRL for Manufacturing Use Cases
- Fine-Tune Domain-Specific LLMs with LLaMA-Factory and Axolotl for Manufacturing Workflows
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Industrial Automation & Robotics
- Train Robotic Manipulation Policies with LeRobot and Isaac Lab
- Simulate Factory Robot Grasping with MuJoCo Playground and JAX
- Plan Collision-Free Industrial Robot Paths with MoveIt 2 and NVIDIA cuMotion
- Test Warehouse Robot Fleets with ROS 2 Nav2 and Gazebo Simulation
- Train Vision-Language-Action Robot Policies in NVIDIA Isaac Sim with LeRobot
- Train Robot Grasping Policies with PyBullet Physics and TensorFlow Reinforcement Learning
- Coordinate Heterogeneous Robot Fleets with Nav2 and Open-RMF
- Control Industrial Robot Actuators in Real Time with ROS 2 Control and MoveIt 2
- Develop Robotic Manipulation Skills with PEFT-Optimized Policies and Isaac Lab
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Digital Twins & MLOps
- Build Industrial Equipment Twins with Siemens Composer and MLflow
- Monitor Assembly Line Health with Evidently and YOLO26
- Orchestrate Robotics Pipelines with OpenALRA and Kubeflow
- Build Digital Twins for Automotive Electronics with Synopsys eDT and MLflow
- Validate Manufacturing Data Pipelines with Great Expectations and DVC
- Accelerate Digital Twin Data Collection with Azure Digital Twins SDK and Weights & Biases
- Version Sensor Data with DVC and Vertex AI SDK
- Orchestrate Twin Deployments with Kubeflow and AWS IoT TwinMaker SDK
- Track Twin Model Performance with Weights & Biases and AWS IoT TwinMaker SDK
- Automate Pipeline Workflows with ZenML and Azure Digital Twins SDK
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Computer Vision & Perception
- Detect Casting Defects with YOLO26 and MetaLog
- Segment Welding Flaws in Video Streams with SAM 2 and Supervision
- Train Edge Vision Models with Qwen2.5-VL and ZenML
- Classify Manufacturing Defects with GLM-4.5V and Weights & Biases
- Detect Quality Defects in Video Streams with Grounded SAM 2 and Supervision
- Enable 3D Manufacturing Perception with InternVL3 and Roboflow Inference
- Recognize Industrial Components with GLM-4.5V and Hugging Face Transformers
- Recognize Equipment Components with CLIP and OpenCV
- Segment Industrial Defects with Florence-2 and Detectron2
- Detect Open-Set Objects with Grounding DINO and DVC
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Multi-Agent Systems
- Orchestrate Manufacturing Task Workflows with Microsoft Agent Framework and Paperclip
- Coordinate Supply Chain Agents with LangGraph and Google ADK
- Build Autonomous Factory Inspection Agents with CrewAI and PydanticAI
- Automate Logistics Networks with smolagents and LangGraph
- Scale Procurement Task Distribution with Semantic Kernel and Prefect
- Orchestrate Equipment Monitoring Agents with llama-agents and FastAPI
- Automate Inventory Management Agents with OpenAI Agents SDK and Prefect
- Coordinate Manufacturing Process Agents with AutoGen and Microsoft Agent 365
- Dispatch Quality Control Agents with smolagents and OpenAI Agents SDK
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Edge AI & Inference
- Deploy Quantized Models to Factory Edge Devices with vLLM and ExecuTorch
- Optimize Automotive Inference Pipelines with TensorRT-LLM and ONNX Runtime
- Run Edge LLMs on IoT Devices with Ollama and llama.cpp
- Accelerate In-Vehicle AI with TensorRT Edge-LLM and Jetson T4000
- Deploy Quantized LLMs to Industrial Sensors with CTranslate2 and Triton
- Optimize Factory Vision Models with OpenVINO and ExecuTorch
- Optimize Edge LLM Serving with vLLM and NVIDIA Model-Optimizer
- Deploy Inference Pipelines with Triton Inference Server and NVIDIA Model-Optimizer
- Accelerate Sensor Analytics with ONNX Runtime and vLLM
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Predictive Analytics & Forecasting
- Forecast Equipment Maintenance Windows with TimesFM and XGBoost
- Predict Demand Spikes with statsforecast and scikit-learn
- Detect Manufacturing Anomalies with NeuralForecast and PyTorch
- Build Real-Time Production Forecasts with TimeGPT-1 and Darts
- Optimize Supply Chain Forecasts with Darts and Amazon Forecast SDK
- Scale Industrial Forecasting with GluonTS and scikit-learn Ensemble Methods
- Build Multi-Step Ahead Forecasts with PyTorch Forecasting and statsmodels
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AI Infrastructure & DevOps
- Orchestrate Distributed AI Workloads with Ray and Kubernetes Python Client
- Deploy Model Inference with Triton Server and ArgoCD
- Monitor AI Model Health with Prometheus Client and BentoML
- Serve Production Models at Scale with Seldon Core and Prometheus Client
- Orchestrate Multi-Cloud AI Workloads with SkyPilot and Docker SDK
- Implement AI-Driven Infrastructure Observability with Prometheus Client and KServe
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Turn Data Chaos Into
Competitive Advantage
We transform complex data into actionable AI solutions that drive 40%+ efficiency gains. From Fortune 500s to startups, we've deployed 200+ production AI systems across 21+ countries.
Proven Results That Speak
Ethics of Artificial Intelligence
As part of our commitment to responsible AI development and deployment, we follow the UNESCO recommendations on the Ethics of Artificial Intelligence – a global standard guiding the ethical design, use, and governance of AI technologies.
Proportionality and Do
No Harm
Safety and Security
Right to Privacy & Data Protection
Multi-stakeholder and Adaptive Governance & Collaboration
Responsibility and Accountability
Transparency and
Explainability
Human Oversight and Determination
Sustainability
Awareness & Literacy
Fairness and
Non-Discrimination
Our Solutions
AI Solutions That Drive Real Business Results
Advanced Analytical Systems
- Predictive & diagnostic analytics on modular, scalable architectures
- Automated model deployment across workflows
LLM Based Outreach Systems
- AI-powered transformation for marketing, sales, and CX
- Custom LLMs tailored for your business needs
End-to-End AI System
- Engineered end-to-end AI development
- Automated MLOps for seamless deployment
Real Results
Success Stories
See how we've transformed businesses across industries with AI solutions that deliver measurable results and competitive advantages.
Sulzer
ManufacturingAmul
ManufacturingElaraby
Computer VisionEllucian
Cloud InfrastructureWhy Choose Atomic Loops for Your AI Journey
End-to-End Support
From strategy to deployment, we're with you every step of your AI transformation
Innovative Data Ingress
We transform your messy data into clean, actionable insights that drive decisions
Secure Data Lakes
Enterprise-grade security with multi-cloud flexibility for your sensitive data
Custom Neural Engineering
Tailored AI models designed specifically for your unique business challenges
Cloud Agnostic
Deploy anywhere - multi-cloud, hybrid, or on-premise - we adapt to your infrastructure
Transparent AI
Clear insights into AI performance so you understand every decision and recommendation
Deployment Support
Seamless production deployment with zero downtime and continuous monitoring
MLops Fine Tuning
Continuous model optimization that adapts to changing business needs automatically
We're Not Just Another AI Company
At Atomic Loops, we believe AI should work for humans, not the other way around. While others chase the latest AI trends, we focus on solving real business problems with practical, scalable solutions. Our team of engineers and entrepreneurs has deployed AI systems that process 2.18+ petabytes of data daily, helping companies from G20 governments to Fortune 500s make smarter decisions faster.
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