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AI Data Analysis

Uses natural language to query and analyze structured/unstructured data. Enables business users to extract insights without SQL or BI tools.

Conversational Analytics

Analyze networks like social graphs, supply chains, or transactions.

Graph Analytics & ML

Uses AI to clean, normalize, and transform data for analysis. Reduces manual ETL work.

Data Preparation & Cleansing

Use ML to spot unusual transactions or metrics before they escalate.

Anomaly & Fraud Detection

Forecasts trends and behaviors using historical data and ML models. Common in finance, marketing, and operations.

Predictive Analytics

Auto-generates summaries, dashboards, and narratives from raw data. Speeds up decision-making for non-technical users.

Automated Insights

AI Enterprise Model Tuning

Combines LLMs with enterprise knowledge bases for grounded, real-time responses.

RAG (Retrieval-Augmented Generation)

Optimize models for faster deployment & reduced cost.

Model Compression & Quantization

Tracks model performance, bias, drift, and hallucinations in production. Ensures compliance and reliability.

Model Evaluation & Monitoring

Designs and tests prompts to improve model output without retraining. Often used in copilots and chatbots.

Prompt Engineering & Optimization

Customizes foundation models using enterprise-specific data for better accuracy and relevance.

LLM Fine-Tuning

GenAI

Chatbots and virtual assistants for customer support, internal HR automation, IT helpdesks, and interactive applications.

Conversational AI

AI copilots that surface institutional knowledge and support employee productivity with natural language queries.

Enterprise Knowledge Assistants

Generate voiceovers, clone voices, or build IVR systems with lifelike AI speech.

Voice & Speech Solutions

Use AI to generate realistic synthetic datasets for ML training or software testing.

Synthetic Data & Test Data Generation

Creating visuals from text prompts for design, advertising, art, and prototyping purposes.

Image Generation

Automatic code synthesis, documentation, testing, and debugging tools integrated into developer workflows.

Code Generation

Implement smart search with semantic understanding and retrieval from enterprise data.

AI-Powered Search & Q&A

Automatically create natural language summaries of dashboards or trends.

AI-Driven Reporting & Analytics Narratives

Automatically summarize contracts, reports, or emails to extract key information for decisions.

Document Summarization & Insights

Generate marketing copy, blogs, emails, or product descriptions with AI tools.

Text Generation & Content Creation

Conversational bots for customer support, sales, or internal helpdesks, automating interactions.

AI Chatbots & Virtual Assistants

Build and maintain FAQs, help centers, or policy docs with AI to reduce manual work.

Knowledge Base Automation

Produce personalized explainer videos or avatar-driven content for marketing or training.

Video & Avatar Generation

Dynamic content or product recommendations based on user behavior and preferences.

Personalization Engines

Auto-generating business documents like contracts, proposals, meeting notes, legal documents, and reports.

Document Automation

Generating human-like voice for virtual assistants, media production, accessibility, and more.

Speech Synthesis

Custom development refers to the development of software that is distinct and separate from Commercial-Off-The-Shelf (COTS) packaged software or existing packaged open-source software. Custom development either creates a new application or enhances the functionality of an existing application.

Custom Development

Automation describes a wide range of technologies that reduce human intervention in processes. Human intervention is reduced by predetermining decision criteria, subprocess relationships, and related actions — and embodying those predeterminations in machines.

Automation

Technology companies focus on developing software, hardware, and digital services that power modern business. This sector includes everything from product development to infrastructure and innovation. On Spryte, tech teams range from agile startups to enterprise-grade providers, all using their expertise to build the future of digital solutions.

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