Once  this company is properly categorized, we’ll rank it!

Companies are ranked within their category of expertise

No Category Ranking

[DEFAULT]

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

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

Apply AI

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

Create AI

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

Data Analysis

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

Data Visualization

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

Data Wrangling

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.

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

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

AI Enterprise Model Tuning

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

LLM Fine-Tuning

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

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

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

Synthetic Data for Tuning

Make models transparent & compliant for regulators.

Explainability & Model Audit

Automate ML from data cleaning to model deployment.

AutoML Pipelines

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

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

In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources.

Optimization

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

Testing (QA)

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

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

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

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

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

Software Configuration

GenAI

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

AI-Powered Search & Q&A

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

Image Generation

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

Text Generation & Content Creation

Generating synthetic video content, including product demos, explainer videos, and virtual avatars.

Video Generation & Editing

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

Speech Synthesis

Real-time voice replication or translation used in global communication and localization tools.

Voice Cloning & Translation

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

AI Chatbots & Virtual Assistants

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

Document Summarization & Insights

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

Code Generation

Speed up software development with AI pair programming, testing, and bug fixing.

Code Assistance & Automation

Automatically create natural language summaries of dashboards or trends.

AI-Driven Reporting & Analytics Narratives

Create marketing banners, product visuals, or social graphics from simple prompts.

Image & Creative Asset Generation

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

Video & Avatar Generation

Deliver tailored suggestions, web content, or email personalization to boost engagement.

Personalized Recommendations & Dynamic Content

E-commerce is the buying and selling of good or services via the internet, and the transfer of money and data to complete the sales. It’s also known as electronic commerce or internet commerce.

Ecommerce

A payment gateway is a merchant service provided by an e-commerce application service provider that authorizes credit card or direct payments processing for e-businesses, online retailers, bricks and clicks, or traditional brick and mortar.

Payment Integration

Mobile app development is the act or process by which a mobile app is developed for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones

Mobile Development

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

APIs

annualrevenue

city

country

createdate

description

domain

founded_year

hs_all_assigned_business_unit_ids

hs_all_owner_ids

hs_created_by_user_id

hs_lastmodifieddate

hs_num_blockers

hs_num_child_companies

hs_num_contacts_with_buying_roles

hs_num_decision_makers

hs_num_open_deals

hs_object_id

hs_object_source

hs_object_source_id

hs_object_source_label

hs_object_source_user_id

hs_pipeline

hs_target_account_probability

hs_updated_by_user_id

hs_user_ids_of_all_owners

hubspot_owner_assigneddate

hubspot_owner_id

indexprofileurl

industry

is_public

lifecyclestage

linkedin_company_page

linkedinbio

name

num_associated_contacts

numberofemployees

phone

state

timezone

total_money_raised

twitterhandle

web_technologies

website

We’re in the process of ranking this company against their peers. Hold tight, this takes about 24hrs.

View Documentation

Learn more about Spryte Labs

Lambda Inc

About Lambda Inc

Sub Sectors

Technology Products We Make

This firm doesn't seem to have any Technology Products

Technology Products We Use

This firm doesn't seem to have any Tech Stacks defined

Open Positions

No Open Positions

Open Candidature

Start an Internship

Reach your best potential on the Spryte Index