AI Services We Offer
Data Prism offers AI services from strategy and consulting to custom AI product development, automation, chatbots, machine learning, and intelligent systems that help businesses solve real problems and scale faster.
AI Services We Offer
From strategic consulting to full-scale AI product development, we build intelligent systems that solve real business challenges — across industries and platforms.
AI App Development Services
Create end-to-end AI solutions tailored to your specific goals. Whether it's computer vision, predictive analytics, or intelligent automation, we build powerful models that solve real business problems — faster and more efficiently.
AI Chatbot Development Services
Automate customer support, lead generation, and internal communications with smart, conversational AI. Our chatbots integrate with your CRM, website, or app to deliver 24/7, human-like interactions that scale effortlessly.
Generative AI Solutions
Go beyond automation with AI that creates. We develop content-generation tools, recommendation engines, and vision-language models using technologies like GPT, DALL·E, and custom LLMs — all optimized for your industry.
AI Consulting & Strategy
Not sure where to start with AI? We’ll help you define your use cases, assess data readiness, and build a roadmap to implementation. Our strategic guidance ensures you invest in AI where it matters most — and see measurable results.
Natural Language Processing (NLP)
Transform how your business interacts with language. From text classification and sentiment analysis to document summarization and voice interfaces, we build NLP systems that understand and respond like humans.
AI Model Training & Fine-Tuning
Get the most out of your AI investment with expertly trained and fine-tuned models. Whether you need a bespoke ML algorithm or fine-tune a pre-trained foundation model (like GPT or BERT), we ensure accuracy, performance, and efficiency.
Technologies We Use for Data Solutions
- JavaScript
- Node Js
- Python
- DynamoDB
- Firebase
- MongoDB
- MySQL
- PostgreSQL
- Redis
- SQL Server
- SQLite
- BigQuery
- Redshift
- Snowflake
- Apache Airflow
- Azure Data Factory
- Dagster
- Databricks
- Apache Kafka
- AWS Glue
- DBT
- Talend
- Looker Studio
- Power BI
- Tableau
- AWS
- Azure
- GCP
- Heroku
- Docker
- Kubernetes
- Postman
- Requests
- Rest
- soap
- Oauth
- SSL / TLS
Programming Languages
- JavaScript
- Node Js
- Python
Our Data Engineering Process
We follow a structured and agile development process to deliver high-quality, scalable data infrastructure.
Data Ingestion
We collect data from diverse structured and unstructured sources, including databases, APIs, and files, ensuring a continuous and secure flow into your systems for downstream processing.
Data Validation & Quality Checks
Before any transformation begins, we apply rigorous checks to validate data accuracy, completeness, and consistency, preventing issues that could compromise reporting or decision-making later.
Data Transformation (ETL/ELT)
Using ETL/ELT processes, we clean, enrich, and reformat raw data into a structured, analytics-ready format tailored to your specific business intelligence or machine learning use cases.
Data Storage
Transformed data is securely stored in high-performance storage solutions like data warehouses, lakes, or cloud-native repositories, designed to scale and support real-time or batch querying.
Data Orchestration & Automation
We automate recurring workflows and manage task dependencies using orchestration tools like Airflow or Prefect, ensuring timely, error-free, and fully governed data operations.
Data Access & Delivery
The final processed data is delivered through dashboards, APIs, or reporting layers, making it accessible to business users, analysts, and downstream systems in real time or scheduled intervals.
Success Stories
We’ve partnered with fast-growing startups and global enterprises to design intelligent data ecosystems that power smarter decisions and digital growth.
Instagram-Facebook API Integration (Freestak.com)
Freestak, a marketplace for endurance influencers, wanted to integrate key insights coming from marketing campaigns with their associated influencers. Freestak required obtaining post data and engagement metrics of posts, stories and reels of Instagram influencers.
Food Ordering Scraper (DoorDash, UberEats, Grubhub)
Our client needed merchant-side data of orders coming to restaurants through 3 major ordering companies (DoorDash, Uber Eats, and Grubhub). We were required to implement a smart algorithm to retrieve such a huge volume of information and prevent blocking, duplication, and other problems.
Natural Language Database Lookup System (dbGPT)
We created an intelligent lookup system (using the OpenAI) that can understand natural language prompts and convert them into SQL queries to retrieve the required information from a database.
Skyfare (FlyGPT)
We created a web application that asks users for their desired trip and uses chatGPT to find the best possible flights from all the airlines and agents. The user can also choose to mention the specifics of the tickets they need, like price range, airlines, and date(s) of traveling.
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