We bring comprehensive suite of deep learning development services offering everything from developing a customer learning model to evaluating the model.

Our experts build scalable and highly performance driven deep learning models with the help of Keras, PyTorch, and TensorFlow.

Start from sentiment analysis to language translation, we help you develop NLP models that will understand human language to perform various tasks.

Leverage from deep learning application development to enable smarter decision-making and better user experiences while adding intelligent AI features.

Wish to add deep learning models into your existing systems? We can do that without compromising performance or current tech ecosystem.

We leverage AWS/Azure resources and deploy AI models that are safe and delivers high-performance yielding measurable outcome.

We help you deploy deep learning models into your existing ecosystem and provide ongoing support and frequent updates to manage efficiency.
Our data experts begin by understanding your requirements, challenges, and assess data structures and scalability to align with your business objectives.
Our experts help you select the right deep learning frameworks and draft a robust strategy to align resources properly and reduce risks.
We collect, clean, and process data to make sure model is trained properly and reduce noise while improving the model’s ability to learn desired patterns.
Once processed, our deep learning experts train models using algorithms and fine-tune to produce desired outputs for production.
Tools That Power Tomorrow’s AI
Hugging Face Transformers
Haskell
Apache Airflow
SciketLearning
Haskell
Pandas
Scala
Python
Gemma
ollama
Tensor Flow
HasKell
Lisp
Prolog
Why Clients Choose Technomark—Again and Again
It has found use cases in image recognition, predictive analytics, NLP (natural language process), speech processing, recommendation systems and anomaly detection — driving automation, accuracy and intelligent decision-making.
We do both. To address this, we customize off-the-shelf pre-trained models (e.g., ResNets, BERTs or YOLO) to fit our goals and the data at hand or design domain-specific models from scratch.
We use TensorFlow, PyTorch, Keras, MXNet and ONNX — as well cloud AI platforms such as Azure AI, AWS SageMaker and Google Vertex AI — for scalable and efficient model development.
Absolutely. Our transparent monitoring and capability demonstrate the value, to constantly improve performance.