Generative AI

Gen AI development company with industry-specific GenAI portfolio

We offer LLM development, AI agents creation, Retrieval-Augmented Generation (RAG) systems, and R&D AI expertise. We train and deploy LLMs to build secure, self-hosted AI applications.

Custom AI and LLM Agent development for domain-specific tasks

We develop AI agents that handle specialized tasks in your industry. We train and deploy models to build secure, self-hosted AI/LLM Agents.

Custom AI agents / LLM Agents development

We handle everything from autonomous agents capable of accessing external APIs to multi-agent systems that split and solve complex tasks.

LLM Training and Custom RAG Applications

Our services include fine-tuning domain-specific LLMs for your industry, with a focus on self-hosted deployments to give you full control over your data.

Generative AI PoC & MVP development

We build Proof of Concept (PoC) and Minimum Viable Product (MVP) Generative AI systems. These prototypes allow you to validate AI models and assess their business potential.

Generative AI use case discovery sprints

We provide workshops to identify practical, high-value AI applications within your business. We work with your teams to assess potential AI use cases, focusing on technical feasibility, implementation costs, and expected ROI.

Generative AI rapid prototyping sprints

We offer rapid prototyping for fast and iterative development of AI solutions. Using agile methodologies, we help your team test and refine AI models over short cycles.

Generative AI development team to hire

We offer a fully supported AI Innovation Lab team. They lead the research, development and thoughtful implementation of AI in your company.

We work with all leading tech stacks

Our approach ensures that your data and AI Services are technically sound, closely aligned with
your business goals, and capable of delivering tangible value.

Data Visualization

An agile approach to data analytics excellence

At ScriptStory, we transform your data challenges into business accomplishments, guiding you
from initial discovery to full-scale data empowerment.

	Plan	Design	Build	Analyze & Act	Change Management
Inputs	Business objectives and strategy Stakeholder requirements and expectations Current data landscape and capabilities assessment Budget, timeline, and resource planning Regulatory and compliance needs	Roadmap and project scope from the planning phase Identified data sources and formats Requirements for data storage, security, and processing User experience and reporting needs Data governance and compliance guidelines	Detailed designs for data architecture, models, and ETL pipelines Technology stack (e.g., databases, analytics tools, visualization tools) Data sources and integration requirements Testing plans and performance benchmarks	Clean, structured data from the build phase Analytical models and algorithms Business rules and KPIs User-defined metrics and benchmarks Analytical insights and recommendations from the previous phase Stakeholder feedback and business goals	New business processes and strategic decisions Feedback from stakeholders and users Training requirements for new tools and processes Impact assessment on existing workflows and teams
Outputs	Data analytics roadmap Defined use cases and KPIs Project scope and goals Stakeholder alignment and approval High-level architecture and technology selection Regulatory and compliance needs	Data architecture design (e.g., data lake, warehouse, pipeline) Data model design and schema definitions ETL (Extract, Transform, Load) design specifications Analytical models and visualizations design plan Defined roles and responsibilities for implementation	Implemented data pipeline (ETL or ELT processes) Data warehouse or data lake setup Data models and structures populated with live data Initial dashboards and reports developed Initial quality and performance testing results	Analytical insights (descriptive, diagnostic, predictive, prescriptive) Data visualizations, dashboards, and reports Actionable recommendations based on analysis Identification of trends, patterns, and anomalies Feedback for further iterations or refinements Data-driven decision-making and actions	Stakeholder engagement and communication plan Training programs for users and teams Adoption of new tools, processes, and workflows Monitoring of success metrics and post-implementation reviews Continuous improvement and adaptation framework

Benefits of work with Script Story

Intensive users of customer analytics are 23 times more likely to outperform their competitors
in new-customer acquisition than non-intensive users.*

Data-driven decision making

We dive into your businessÔÇÖs current way of working and competitive landscape to create a data strategy that aligns with your business goals and sets a path for seamless AI integration.

Customer experience

Our predictive analytics and custom AI solutions are tailored to forecast market changes, automate processes, and revolutionize customer experiences.

Risk management solutions

From automating the mundane to deploying cognitive computing applications, we streamline your operations, leaving error and inefficiency behind.

Commonly Asked Questions

Generative AI refers to algorithms that can create new content, including text, images, and music, by learning patterns from existing data.

Common applications include content creation (writing, art, design), chatbots, virtual assistants, and even drug discovery.

LeewayHertz offers custom generative AI development services, including solutions for industries such as finance, healthcare, and more.