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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,[1][2] and apply knowledge and actionable insights from data across a broad range of application domains.

Data Science

Dig deep into your data and gain insight. Uncover patterns and compute stats you can trust

Data Analysis

A data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion.

Data Pipelines

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.

Big Data

Perform Data Aggregation and/or Manipulation, usually the first steps in Data Science

Data Wrangling

Build graphs, KPIs and interfaces which can be used to take business decisions

Data Visualization

Create Machine Learning Models from scratch, train them, and break new boundaries

Create AI

Apply an already pre-trained Machine Learning Model from IBM Watson, Google Cloud or others

Apply AI

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

AI Data Analysis

Let teams explore data by asking questions in natural language.

Conversational Data Analysis

Predict sales, inventory, or demand trends over time with AI models.

Time Series Forecasting

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

Cluster customers by behavior or value to drive marketing strategies.

Customer Segmentation ML

Recommends actions based on predictive models and optimization algorithms. Used in logistics, pricing, and planning.

Prescriptive Analytics

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

Ensure ML decisions are equitable across demographics.

Bias & Fairness Detection

Manage AI models that mix text, images, voice, and structured data.

Multi-Modal Model Management

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

Generates domain-specific data to augment training sets or simulate rare scenarios.

Synthetic Data for Tuning

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

LLM Fine-Tuning

Make models transparent & compliant for regulators.

Explainability & Model Audit

Automate ML from data cleaning to model deployment.

AutoML Pipelines

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

DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

DevOps

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

Software testing is an investigation conducted to provide stakeholders with information about the quality of the software product or service under test.

Testing (QA)

Business requirement analysis is a process in which the expectations and requirements of the users and stakeholders of a project or task are defined. The analysis of business needs is a comprehensive statement of what the outcome of a project or task should be.

Business & Requirement Analysis

Have top devs review your code and recommend improvements

Code Review

New product development covers the complete process of bringing a new product to market, renewing an existing product or introducing a product in a new market. A central aspect of NPD is product design, along with various business considerations.

Product Development

Web development is the work involved in developing a Web site for the Internet or an intranet. Web development can range from developing a simple single static page of plain text to complex web applications, electronic businesses, and social network services.

Web Development

Cloud infrastructure management comprises the processes and tools needed to effectively allocate and deliver key resources when and where they are required.

Cloud Infrastructure Management

Use someone else's APIs, dynamically integrating their data into your business

API Integration

Build an Application Programming Interface to serve your data to clients and partners

API Creation

The user experience is how a user interacts with and experiences a product, system or service. It includes a person's perceptions of utility, ease of use, and efficiency.

UX Design

User interface design or user interface engineering is the design of user interfaces for machines and software, such as computers, home appliances, mobile devices, and other electronic devices, with the focus on maximizing usability and the user experience.

UI Design

Online search is the process of interactively searching for and retrieving requested information via a computer from databases that are online.

Search

Enterprise resource planning (ERP) is a process used by companies to manage and integrate the important parts of their businesses. ... An ERP software system can also integrate planning, purchasing inventory, sales, marketing, finance, human resources, and more.

ERP Integration

A CRM integration is the seamless connectivity between your CRM software and third-party applications. A CRM migration refers to migrating the data your legacy CRM solution contains to a new CRM tool.

CRM Integration & Migration

Search engine optimization is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid traffic rather than direct traffic or paid traffic.

SEO Development

Build a dynamic website from scratch, with a custom backend and/or front-end

Custom Website

Configuration of SaaS, Cloud or on-prem systems according to the customer's requirements

Software Configuration

A chatbot is a software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent.

Chat & Bots

Marketing is the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.

Marketing

Content creation is the process of identifying a new topic you want to write about, deciding which form you want the content to take, formalizing your strategy (keyword or otherwise), and then actually producing it.

Content Creation

Customer service is the provision of service to customers before, during, and after a purchase. 

Customer Service

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.

Technology

Cloud

Databases

AI & ML

Consulting firms are required to operate across all industry domains. As such they typically use technology for data gathering, analysis and presentation.  They also have strong connectivity and real-time communication requirements, where they have spearheaded the development of live video conferencing, chat apps and innovative email products. 

Consulting

IT consultants offer expertise in technology and help businesses optimize their IT systems and infrastructure.

IT Consulting

Technology Consulting

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Anblicks

14651 Dallas Pkwy #816

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