What Analytics Intelligence does

Analytics Intelligence Ltd is a London-based private software company building a vertically integrated AI analytics platform for enterprise and capital markets clients. Its product stack comprises five components: the AI Platform (managed compute infrastructure powered by Speedata Analytics Processing Units and NVIDIA GPU clusters running Apache Spark workloads), Pulse (behavioral and event-based data collection across web, mobile, and server), CORE (a family of in-house fine-tuned small language models specialized for analytics reasoning and quantitative finance), and two autonomous agents — Data Assistant for digital analytics teams and Trade Assistant for quantitative traders. The company claims up to 100x faster analytics performance and up to 80% lower query costs at petabyte scale versus commodity cloud compute, and emphasizes auditable chain-of-thought reasoning and permission-scoped agent boundaries as enterprise governance features.

The company monetizes through subscription-based managed APU compute infrastructure, AI agent subscriptions, and fine-tuned analytics model subscriptions, with cloud and on-premises deployment options for data sovereignty. Go-to-market is enterprise field sales via a Book a Demo call-to-action, supported by content marketing and event/webinar demand generation (including AI Data Stack Connect 2025). The primary customer segments are Capital Markets, Financial Markets, and general Enterprises, with Digital Analytics as a secondary segment. The company is privately held, has 11–50 employees, and was founded in 2017 by David Edoja, who serves as Founder and CEO. A core technology partnership with Speedata supplies the APU silicon that underpins the platform's performance claims, creating a tightly coupled vertical stack but also a single-supplier dependency.

Name

Analytics Intelligence

Legal name

Analytics Intelligence Ltd

Website

https://analyticsintelligence.com

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Analytics Intelligence is a London-based software company offering a vertically integrated AI analytics platform — hardware-accelerated compute, behavioral data collection, fine-tuned reasoning models, and autonomous agents — for capital markets, financial markets, and enterprise analytics teams.

Ownership category

akta.pro rank

Product category

Enterprise AI Analytics Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI)

Keywords

• Enterprise AI analytics
• Autonomous data agents
• AI-native analytics
• Quantitative finance AI
• Accelerated Apache Spark

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Managed APU Compute Infrastructure: Subscription-based managed compute infrastructure powered by purpose-built Analytics Processing Units for enterprise analytics workloads. Offers cloud or on-premises deployment for full data sovereignty.
2. AI Agent Platform: Revenue from autonomous AI agents (Data Assistant, Trade Assistant) that provide analytics reasoning and decision-making capabilities for enterprise clients
3. Analytics Intelligence Models: Fine-tuned small language models for analytics reasoning including lightweight inference, deep causal analysis, and quant-specialised financial reasoning

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Analytics Intelligence provides a vertically integrated enterprise AI analytics platform spanning five core products: the [AI] Platform (managed compute infrastructure powered by Speedata Analytics Processing Units and NVIDIA GPU clusters for Apache Spark workloads), Pulse (behavioural and event-based data collection), CORE (fine-tuned small language models for analytics reasoning), and autonomous agents Data Assistant and Trade Assistant. The platform targets capital markets, financial markets, and enterprises needing AI-native analytics, secure LLMs, and real-time analytics agents with auditable governance.

Product overview

Analytics Intelligence offers a vertically integrated platform consisting of five core products spanning infrastructure, data collection, AI reasoning models, and autonomous agents. The platform includes [AI] Platform (compute infrastructure powered by Speedata APUs and NVIDIA GPUs), Pulse (behavioral data collection), CORE (fine-tuned language models for analytics reasoning), Data Assistant (autonomous analytics agent), and Trade Assistant (autonomous trading agent). Every product is built on core infrastructure and analytics intelligence capabilities, working seamlessly together without third-party dependencies between data and decisions.

Differentiator

Problem solved

Functional benefit

Products and services

• [AI] Platform Managed cloud infrastructure powered by Speedata Analytics Processing Units (APU) and NVIDIA GPU clusters, enabling Apache Spark workloads up to 100x faster with cloud or on-premise deployment for full data sovereignty. Used by enterprise clients running petabyte-scale analytics and AI agent orchestration.
• Pulse Behavioural and event-based data collection platform for web, mobile, and server, purpose-built as the context layer for the agentic era and powering AI data collection.
• CORE Family of fine-tuned small language models (SLMs) for analytics reasoning, ranging from lightweight inference to deep causal analysis and quant-specialized financial reasoning, delivering verifiable chain-of-thought reasoning for enterprise governance.
• Data Assistant Autonomous AI agent for digital analytics teams that monitors data continuously, surfaces insights, and takes controlled actions within defined boundaries before being asked.
• Trade Assistant Autonomous AI agent for quantitative traders and algorithm developers that backtests trading strategies, evaluates signals, and reasons through what works and why.

Quantifiable outcome

• Up to 100x faster analytics performance compared to commodity cloud compute
• +2 more outcomes

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature6 records

Partnerships

One partnership is on record.

• SpeedatacoreTechnology or IntegrationSpeedata provides purpose-built Analytics Processing Units (APU) that power Analytics Intelligence's AI Platform, enabling Apache Spark workloads to run up to 100x faster. This is a core technology partnership for hardware-accelerated analytics performance.

Recent moves5 records

Expansion highlights4 records

Broad incumbents

• Databricks: Databricks is the dominant lakehouse and enterprise AI/analytics platform, combining Apache Spark, proprietary model serving, and AI agent capabilities (Mosaic AI, DBRX). It competes with Analytics Intelligence across the same buyer base but at vastly greater scale and as part of a much broader data platform.
• Snowflake: Snowflake is a leading cloud data platform that has aggressively expanded into AI reasoning models, Cortex AI, and agentic analytics. It targets the same enterprise analytics buyers as Analytics Intelligence and competes on integrated data + AI workflows, albeit with a different underlying compute substrate.
• Palantir Technologies: Palantir sells enterprise AI platforms (AIP, Foundry) deeply embedded in capital markets, financial services, and large enterprises, with a similar focus on autonomous agents and domain-specific reasoning. It is a comparable end-state ambition for Analytics Intelligence's vertical AI/agent play.
• SAS Institute: SAS is a long-established analytics and AI platform widely used in capital markets, risk, and financial services for advanced analytics, model governance, and decisioning. It competes for the same regulated-enterprise analytics budgets that Analytics Intelligence targets with its quant-specialized AI models.

Direct peers

• Dremio: Dremio offers a lakehouse analytics platform with SQL query, Apache Iceberg, and AI-driven semantic layer capabilities targeting enterprise data teams. It directly overlaps with Analytics Intelligence's AI Platform positioning for petabyte-scale analytics with self-serve consumption.
• SingleStore (now SingleStoreDB): SingleStore is a real-time analytics database that combines transactional and analytical workloads with vector and AI capabilities, targeting capital markets and enterprise customers with low-latency analytics — directly adjacent to Analytics Intelligence's high-performance analytics positioning.
• Starburst (Trino): Starburst provides a distributed SQL query engine built on Trino for federated analytics across data lakes and warehouses, with a focus on enterprise analytics performance and data sovereignty. It competes on the same high-performance analytics workload that Analytics Intelligence targets with its APU-accelerated Spark stack.

Emerging players

• Domino Data Lab: Domino is an enterprise MLOps and model lifecycle platform that supports fine-tuned models, governance, and deployment for regulated industries including financial services. It overlaps with Analytics Intelligence's CORE model and agent deployment story for analytics-specialized AI.
• Anyscale: Anyscale, built on the open-source Ray framework, provides managed compute infrastructure for AI and large-scale data workloads, with performance optimization for ML/AI pipelines. It is comparable to Analytics Intelligence's AI Platform in offering managed, performance-optimized compute for AI/analytics workloads.

Others

• Speedata: Speedata is the semiconductor partner that builds the Analytics Processing Units (APU) powering Analytics Intelligence's platform. It is a core technology enabler and a direct comparable in the niche of purpose-built silicon for Apache Spark analytics acceleration.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights5 records

Customer concentration

• Xx.com/_AnalyticsIntel
• LinkedInlinkedin.com/company/2699628

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Analytics Intelligence