Fine-Tune for precision with Generative AI solutions
Build, test, and deploy enterprise-ready Generative AI applications customized with your own data while being 100% secure
We're thrilled about our inclusion in the Gen AI report by AIM Research as "Seasoned Vendors". This is a validation to our dedication to push the boundaries of innovation with the help of emerging technologies,
From leveraging LLMs as As-Is to creating custom applications with LLMs our maturity in understanding and building models we have been judged based on model capabilities, ease of use, pricing, customer support, compliance, scalability, and integration capabilities
From code optimization to productivity optimization by reducing the queries, you can increase IT effectiveness with Gen AI
From gaining insights from personalized data to customized reach-outs craft compelling recommendations to improve effectiveness
Create a sociotechnical society where you augment humans with tech for underwriting, credit reviews,
Reduce request approval times, improve engagement, and create a tech-enabled hiring to retiring process
From advisory, creation, automation, to protection Generative AI in supply chain improves operations and optimizes processes
Though most brands expect a productivity and operational efficiency boost with Gen AI, they can build specific solutions like:
Our solution helped a service-based technology conglomerate run queries directly on database and get the answer all right from MSTeams environment.
We leveraged Power Automate, Azure services like Azure OpenAI, Container Apps, Azure API Management Services, and Azure DevOps
We utilized technologies like GPT 4.0., Llama AI, Open APIs, and AI models to train models to matching resumes with JD based on either Jaccard Matrix or Cosine similarity, etc. and get output as ranking and downloadable high rank CVs for companies across multiple domains
Right now, the questions that most CTOs and CEOs ask is not What is Generative AI, but rather how do we get started with it and what use cases should we start with.
With this eBook understand the areas of resistance and how to overcome them to pilot your Generative AI project.
From low difficulty to high difficulty use cases, Generative AI can be integrated into workflows for improving operational efficiency, classification, content creation, prompt engineering, or process optimization, etc. We create the user flows and use cases by considering these parameters:
In some cases though it is very soon to talk about the final benefits, we've seen our clients have seen
and more..
Yes, we pre-train models on a variety of data before we let our clients/ end-users work on it. We train and tune the data to the parameters based on our clients data which can be seen during our PoC (Proof of concept). Reach out to us in case you would like to know more.
