Applied AI Services

Integrating Artificial Intelligence into common business practices securely and with greater flexibility, our Applied AI solutions are built on top of cognitive services using tailored logic and AI models, all without starting from scratch.

Build AI-Led Solutions

Our Applied AI Services To Reach Data's Full Potential

Applied AI services offered by TOPS refer to using a suite of platforms, tools, and solutions provided by specialized vendors to develop, deploy, and manage AI models without building them from scratch. We do it by integrating advanced AI models into your app through APIs, customizable solutions, or pre-trained models.

RAG (Retrieval Augmented Generation)

Integrate your proprietary data or external data sources into the pre-trained Large Language Models to get contextual, business-specific responses along with authentic data sources while keeping full control over your proprietary information.

Semantic Search

Build an AI-driven Semantic Search functionality into your app which understands the intent and meaning of keywords, retrieving the most relevant information, even when the exact keyword does not match your search purpose.

OpenAI API

Leverage pre-trained AI models trained on massive amounts of data like ChatGPT for smarter interactions, text generation, and task automation. We fine-tune them to suit your data, saving you time on building and training the model from scratch.

Prompt Engineering

We integrate smart prompts into your app to ensure the integrated Generative AI models provide meaningful, accurate, and coherent answers to user queries. This is highly used for projects that require personalization of user experiences.

Forecasting Time Series Data

Get future insights from past trends! Our team uses cutting-edge tools like Facebook Prophet to forecast accurate results even with missing data, outliners, seasonal patterns, or dramatic changes in the time series.

LangChain

We use Python’s LangChain framework to create your business specific multi agent ecosystem (customizable chain of tasks) such as task parallelization, streaming, fallbacks, batch, and async methods, all by integrating LLM to your data.

Applied AI Solutions Build From the Maturity Phase, Not From Ground Zero

At a maturity level, Applied AI solutions rely on manual processes, limiting model deployment frequency. We have transformed this with a clear development pipeline, automating everything from data extraction to accurate outputs using pre-trained models. This enables continuous experimentation and deployment, applying AI at scale without building from scratch, ensuring faster, more efficient refinement.

Smartly Scale with AI

Extensive Frameworks & Tools We Use To Implement RAG

OpenAI

Hugging Face

LangChain

Qdrant

GPT-4

GPT-4o

GPT-4o-mini

AWS S3

PostgreSQL

Docker

Kubernetes

Amazon ECS

Your Advantage of Partnering With TOPS, A Trusted Applied AI Service Provider

Our Applied AI services address a range of business needs. Help your customers quickly and meet them where they are. Detect and diagnose issues as soon as they arise. Go from raw content to deep insights with a fraction of the effort. Explore how our Applied AI solutions help your business maintain less and innovate more.

Complexity

Businesses can leverage AI without the need for complex development environments. Our tailored Applied Artificial Intelligence solutions let you harness the power of AI without building from scratch.

Cost

Our Applied AI solutions avoid high costs for establishing AI infrastructure & building the AI models from scratch. We do it by leveraging pre-trained AI models for cost-effective AI implementation.

Time

Speedily deploy AI capabilities without the process of model design, development, & validation. Our software development team uses pre-trained AI models to get your project up and running in record time.

Scalability

We integrate cloud architecture with Applied AI solutions to handle the load efficiently during traffic peaks. This enables effortless scaling of cloud integrated AI solutions, as your business grows.

Embedding and Multimodal Embedding

Embedding models help machine learning model reason and comprehend high-dimensional data that consists of various categories, numerics, genres, or classifications. As ML models need numeric data to generate input and cannot interpret data in raw formats, embedding models help convert raw data into numeric formats called vectors that make it easy for ML models to interpret the data.

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Applied AI Solutions Beyond Building It In Development Lab

Right from delivering solutions based on the quality and quantity of data, developing the right mindset to prioritize data accuracy, and having available expert skill sets to integrate simple to advanced AI models like linear regressions, neural networks, natural language processing, and others, we do a lot more than just getting the code right.

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