– LegalAlly
Reimagine Legal Support Driven by in-Depth Legal Research
We leveraged Generative AI to fasten legal document analysis and drafting for a medium-sized law firm in Chicago.
- Legal Chatbot Assistant
- Improved Communication Efficiency
- Research Time Reduction by 64%
– NVMS
Reduced Inspection Times for Property Inspectors
We analyzed a large dataset of NVMS property photos to detect anomalies and built a conversational AI chatbot for efficient customer service.
- Deep learning and computer vision driven image data extraction
- GPT-based NLP chatbot for enhanced customer experience
- Improved work efficiency by 80%
- Image classification for detecting anomalies
– Trapeze
Helped Trapeze Group, Revolutionize Mobility with a Paratransit Solution
Using geospatial technology, we supported Trapeze in innovating their existing paratransit transportation system. Our forward-thinking solutions have reduced customer wait times and improved safety features
- Real-time vehicle tracking
- Advanced algorithms for efficient route planning
- In-app communication interfaces
- Strict adherence to accessibility and privacy laws
– DeVoice
Redefining Restaurant Ordering with a Voice Ordering Solution
We built DeVoice, which is a AI based voice agent designed specifically for restaurants and other businesses, integrating state-of-the-art voice recognition and natural language understanding.
- State-of-the-art voice recognition
- Provides natural dialogues and verbal responses
- Multi language support for diverse customers
- Dynamic interaction for enhanced engagement
WHAT WE OFFER
Our enterprise Generative AI development services
We leverage our proficiency in various AI technologies, such as deep learning, machine learning, computer vision, reinforcement learning, and natural language processing.
We help our clients by consulting them on AI solution that is best suited to their needs. As Generative AI is still evolving there could be many approaches to developing a custom AI-powered solution. That way, AI expert team can help clients understand the most efficient, low cost and low-maintenance solution that is better suited.
AI-MODELS
Rich expertise across diverse AI models
GPT-4.0
Advanced language model with superior text generation & contextual understanding.
LLaMA-3
Meta's latest model enhancing natural language understanding with scalable performance.
PaLM-2
Google’s model excelling in NLP tasks with improved accuracy & reasoning.
Mistral 7B
A lightweight language model for fast text generation with low computations.
Claude 3
Anthropic’s ethical AI model for powerful language generation & conversational fluency.
DeepSeek-R1
A reasoning-focused AI model designed for coding, math, and logic tasks.
Whisper V3
OpenAI’s high-accuracy speech-to-text model for efficient transcription.
Stable Diffusion
A generative model to enable controlled image creation & editing.
Phi-2
Google’s multimodal AI model advancing both image and text generation.
Google Gemini 2.0
Google’s latest generative model integrating advanced language & visual understanding.
Vicuna
A conversational AI model delivering high-quality, nuanced dialogue.
DALL-E 3
OpenAI's image generation model creating detailed visuals from text descriptions.
PROCESS
Our Generative AI development process for enterprises
Our Generative AI developers undertake a meticulous approach to better understand your company’s objectives and how to create an engaging, user-friendly, and smooth Generative AI solutions for your target audience.
Define the problem
We need to first understand the problem we want to solve using a Generative ai product. We start with a conversation with our clients and put together their specific requirements to identify the type of content to be generated, their target audience, and content use cases.
Gather Data
Data collection is the next step in the Generative AI process. Using various technologies we first identify the source of data and then collect the data and preprocess it to build the AI model. Examples of sources can be existing product designs, user-generated content, or user-research.
Design the model
Our AI engineers then use appropriate ML and DL algorithms and neural networks to architect the solution model based on the problem.
Train & Evaluate the model
Once the model is designed with the preprocessed data, we train the model, adjust the parameters and evaluate the output for quality and accuracy checks.
Deploy the model
After the model is ready, our team deploy it on existing deployment devices and make sure they are integrated into existing product or service.
Monitor and optimize
Monitoring the generated content, its efficiency, accuracy and optimization is key to the whole process. We continuously monitor the generative ai product and test the outputs and make necessary adjustments to get the desired results.
Define the problem
We need to first understand the problem we want to solve using a Generative AI product. We start with a conversation with our clients and put together their specific requirements to identify the type of content to be generated, their target audience, and content use cases.
Gather Data
Data collection is the next step in the Generative AI process. Using various technologies we first identify the source of data and then collect the data and preprocess it to build the AI model. Examples of sources can be existing product designs, user-generated content, or user-research.
Design the model
Our AI engineers then use appropriate ML and DL algorithms and neural networks to architect the solution model based on the problem.
Train & Evaluate the model
Once the model is designed with the preprocessed data, we train the model, adjust the parameters and evaluate the output for quality and accuracy checks.
Deploy the model
After the model is ready, our team deploy it on existing deployment devices and make sure they are integrated into existing product or service.
Monitor and optimize
Monitoring the generated content, its efficiency, accuracy and optimization is key to the whole process. We continuously monitor the Generative AI product and test the outputs and make necessary adjustments to get the desired results.
Leading brands we’ve worked with
Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, Generative AI solutions and imagine the possibilities for your business.
Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, Generative AI solutions and imagine the possibilities for your business.
CORE EXPERTISE
Our expertise in enterprise Generative AI development
Machine Learning
Our developers possess extensive knowledge and experience in various AI development services. They can proficiently implement machine learning concepts such as predictive modeling, NLP, and deep learning to create robust diffusion model-driven solutions that transform textual data into visual data.
Fine Tuning
Fine-tuning Stable Diffusion models on a smaller dataset can tailor them to a specific task, which is commonly referred to as transfer learning. By doing so, computation and data requirements for training a top-notch model for a particular use case can be reduced.
Deep Learning
Our comprehensive knowledge of deep learning models enables us to leverage multi-layered artificial neural networks to model intricate patterns in data. Moreover, we adeptly utilize the Stable Diffusion deep learning architecture specifically designed for NLP tasks to engineer high-performing solutions.
Transfer Learning
Our area of expertise lies in transfer learning, an AI technology that enables the utilization of pre-trained models on comparable tasks, which enhances performance and reduces training time. We possess a profound understanding of how to leverage pre-trained models to address specific issues, resulting in efficient and effective solutions.
Our collaboration partners
We form strategic alliances with leading platforms to guarantee the highest standards of safety and quality in every endeavor. This collaboration ensures our solutions are built on a foundation of trust and excellence, meeting the rigorous demands of our clients.
TOOL & TECHNOLOGY
Technology stack we use to build Generative AI enterprise solutions
Our Generative AI developers recommend the best technology stack to develop digital solutions for Enterprises.
INDUSTRIES
Developing smart solutions for every industry
Healthcare AI Solutions
We specialize in crafting tailored AI solutions for healthcare organizations aiming to adopt or enhance AI capabilities. Our expert team develops impactful integrations to advance diagnostics and streamline operations, ensuring each solution meets unique client needs.
Fintech AI Solutions
We deliver bespoke AI solutions to fintech firms seeking innovation in fraud detection, risk assessment, and automated customer service. Our tailored integrations enhance transaction security and operational efficiency, meeting specific industry needs.
Retail AI Solutions
Our AI expertise enables retail businesses to enhance customer experience and optimize inventory management. We develop personalized solutions that improve sales forecasting, customer engagement, and supply chain efficiencies.
SaaS AI Solutions
For SaaS companies, we provide AI-driven enhancements that improve user engagement, automate processes, and boost analytics capabilities. Our custom solutions are designed to integrate seamlessly with existing platforms, enhancing functionality and user experience.
Travel AI Solutions
We create customized AI applications for the travel industry to streamline booking processes, personalize customer experiences, and optimize operational logistics. Our solutions help travel businesses adapt to market changes and enhance traveler satisfaction.
Fitness AI Solutions
We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
Insurance AI Solutions
We help insurers harness AI to streamline claims, enhance customer experiences, and boost fraud detection. Our team builds customized solutions to address key insurance challenges, from underwriting and risk management to predictive analytics and claims automation.
Manufacturing AI Solutions
Our team collaborates with data-driven manufacturers to implement AI solutions at every level of their operations, from predictive maintenance and quality assurance to automated price forecasting and supply chain optimization.
INDUSTRIES
Developing effective Generative AI solutions for every industry
Healthcare
Healthcare AI Solutions
We specialize in crafting tailored AI solutions for healthcare organizations aiming to adopt or enhance AI capabilities. Our expert team develops impactful integrations to advance diagnostics and streamline operations, ensuring each solution meets unique client needs.
Retail
Retail AI Solutions
Our AI expertise enables retail businesses to enhance customer experience and optimize inventory management. We develop personalized solutions that improve sales forecasting, customer engagement, and supply chain efficiencies.
Fintech
Fitness AI Solutions
We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
SaaS
SaaS AI Solutions
For SaaS companies, we provide AI-driven enhancements that improve user engagement, automate processes, and boost analytics capabilities. Our custom solutions are designed to integrate seamlessly with existing platforms, enhancing functionality and user experience.
Travel
Travel AI Solutions
We create customized AI applications for the travel industry to streamline booking processes, personalize customer experiences, and optimize operational logistics. Our solutions help travel businesses adapt to market changes and enhance traveler satisfaction.
Fitness
Fitness AI Solutions
We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
Insurance
Insurance AI Solutions
We help insurers harness AI to streamline claims, enhance customer experiences, and boost fraud detection. Our team builds customized solutions to address key insurance challenges, from underwriting and risk management to predictive analytics and claims automation.
Manufacturing
Manufacturing AI Solutions
Our team collaborates with data-driven manufacturers to implement AI solutions at every level of their operations, from predictive maintenance and quality assurance to automated price forecasting and supply chain optimization.
TESTIMONIAL
What our clients say:
FAQs
About enterprise Generative AI development
How will Generative AI integrate with our existing Enterprise systems and workflows?
Generative AI integrates with existing systems and workflows by leveraging APIs and middleware for seamless data exchange. It complements current processes through machine learning and automation, enhancing efficiency without disrupting established operations. This allows Generative AI to provide insights and augment decision-making while fitting into the existing technological ecosystem.
What approach do you use for model validation, testing, and performance evaluation?
We employ cross-validation methods and metrics such as accuracy, precision, recall, and F1-score to rigorously validate and test models, ensuring robust performance.
What regulatory and compliance considerations do you address for Enterprise Generative AI projects?
We ensure compliance with relevant regulations and standards, collaborating with legal experts to adhere to GDPR or industry-specific requirements.
Can you provide an estimate of the total costs involved in implementing and maintaining the Enterprise Generative AI solution?
The total costs encompass development, infrastructure, personnel, and ongoing maintenance, varying with project complexity. We provide detailed cost breakdowns during project scoping.
What is the expected Return on Investment (ROI) of implementing AI in Enterpise systems?
The ROI of AI implementation varies per project and includes factors like efficiency gains, cost savings, revenue generation, and improved decision-making. Detailed ROI analysis is provided during project planning.
What is the expected timeline for Enterprise Generative AI development and deployment?
The timeline for Generative AI development and deployment varies depending on the project’s complexity. Typically, it ranges from several months to over a year, including data preparation, model development, testing, and deployment phases.
Are there scalability options to accommodate future business growth or changing requirements?
Yes, we develop solutions are designed with scalability in mind, capable of handling larger datasets and increased demands, allowing adaptation to evolving business needs.
OUR BLOGS
Point of view
Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
AI Business Process Automation: 5-Step Revenue-First Roadmap
AI automation is everywhere, but not all of it drives real business value. Many companies jump into AI business process automation without a clear link to revenue and end up with solutions that save time but don’t actually move the needle. This roadmap is for those...
ECgMLP: The AI Model That Detects Cancer with 99% Accuracy
Amidst the rapid strides of modern medicine, a groundbreaking AI model named ECgMLP is turning heads. This intelligent model offers a glimpse into a future where cancer detection is faster, smarter, and with nearly 100% accuracy. With its unparalleled accuracy and...
Diffusion LLMs (dLLMs): Introducing a New Generation of LLMs
Diffusion LLMs: Introduction In a world where we have relied on autoregressive models to drive AI, a new approach is quietly gaining momentum- Diffusion Large Language Models (dLLMs or diffusion LLMs). Unlike the models we are used to, which predict text one word at a...
Top 8 Quantum Computing Applications Shaping the Tech Market
Quantum computing isn’t just a futuristic idea anymore; it’s on the brink of redefining industries. Imagine computers that can solve in seconds what would take classical machines years to accomplish. At the core of this breakthrough are qubits, the building blocks of...
