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

Companies are ranked within their category of expertise

No Category Ranking

[DEFAULT]

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

(Augmented Reality/Virtual Reality) Refers to computer-generated simulations that integrate the real world (AR) or are entirely self-contained (VR). AR applications let you move around in the real world.

VR/AR

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

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

Biometrics are body measurements and calculations related to human characteristics. Biometric authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

BioMetrics

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

A map is a symbolic representation of selected characteristics of a place, usually drawn on a flat surface. Maps present information about the world in a simple, visual way. They teach about the world by showing sizes and shapes of countries, locations of features, and distances between places.

GeoMapping

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

Testing (QA)

Embedded device programs must deal with limited computing power, space and memory. On-board programs typically rely on C/C++ or VHDL, but prototyping now commonly done in Python or Rust.

Embedded Devices and IoT

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

The first level of software a user has access to, OS programmers create native programs for mostly Windows, Linux, MacOS, Android, iOS...

Operating System

A distributed cryptographic-based database technology with novel applications in Digital Currency, Publishing, Digital Identity, and many others.

Blockchain

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

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

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.

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

Apply 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

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

Create AI

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

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

Web Development

APIs

Cloud

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

Technology Consulting

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

IT Consulting

The physical layer of our modern connected world, telecoms ensure our information can travel, via cable, air, or satellite.

Telecom

Subsector dedicated to the construction and maintenance of telecommunications networks, including towers, cables, and other physical infrastructure.

Telecom Infrastructure

Subsector focused on mobile communication technologies and services, such as cellular networks and smartphones.

Wireless Communication

Subsector involving the transmission of data through fiberoptic cables to provide highspeed internet and telecommunication services.

Fiber Optics

address

annualrevenue

city

country

createdate

description

domain

facebook_company_page

founded_year

hs_all_accessible_team_ids

hs_all_owner_ids

hs_all_team_ids

hs_annual_revenue_currency_code

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_target_account_probability

hs_user_ids_of_all_owners

hubspot_owner_assigneddate

hubspot_owner_id

hubspot_team_id

is_public

is_spryte_source

linkedin_company_page

linkedinbio

name

num_associated_contacts

numberofemployees

phone

state

timezone

twitterhandle

web_technologies

website

Itera

Sognsveien 77B

Rentemestervej 2a

Prievozská 4d

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

Only this company's CMO can control & manage their categorization

This company hasn't set their specialization yet

No Categorization

Companies are ranked within their sectors of expertise

No Sector Ranking

Search

Track

TEAMS

Manage

Certify

PARTNER

Finance

Marketing

Browse All

INDUSTRY

Enterprise

Startups

ORG TYPE

Planning

Full Enterprise

USE CASE

Partner

Teams

Development

DOCUMENTATION

Our Terms

Pricing

Security

ENGAGEMENT TERMS

All Stacks

All Industries

All Categories

SITEMAP

See all

About

Spryte Spotlight

Figure out if you're using the  strategy to acquire and manage technology

Take the Tech Buyer Self-Assessment

Figure out how to best match technology for your company's current growth

Take the Growth Self Assessement

Figure out how to improve your company's influence in the Tech sector

Take the Influence Self Assessement

As an expert for this sector/subsector/stack/project type, please advise on your ranking of the best companies. This relates to how these companies use and provide technology, not their sales or operations. 

View Documentation

Learn more about Spryte Labs

Itera

About Itera

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