What Listening Post does

Listening Post is a private AI platform company that sells a complete enterprise stack — models, tooling, agents, infrastructure, and an optional behavioral data product — designed to deploy inside customer perimeters rather than route through public LLM APIs. The company targets security-conscious enterprises, primarily CISOs and platform/engineering teams, that face a forced trade-off between AI productivity and data control; its positioning is explicitly anti-public-cloud-AI, with the promise that prompts, embeddings, fine-tunes, and customer keys never leave the customer environment.

The platform is organized around a sidecar architecture that sits alongside existing systems — data warehouses such as Snowflake and PostgreSQL, document stores including S3 and SharePoint, internal APIs, and identity providers like Okta and AD — and reads data in place over mTLS with scoped IAM and full audit logs. Core technology includes a patented orchestration architecture (US patent granted), Kubernetes-native infrastructure supporting on-prem, VPC, and fully air-gapped deployments, BYO KMS/HSM key management with zero standing vendor access, and support for open-weight models (Mistral, Gemma, GPT-OSS) as well as frontier models via private VPC endpoints. The Listening Post Graph is an optional data layer providing a behavioral graph with 250M+ verified people, 60M+ businesses, 81,000+ signals per person, 65B graph nodes, and 16T pre-computed daily relationships, positioned against legacy identity and data stacks such as LiveRamp, Apollo, and ZoomInfo. The platform holds SOC 2 Type II certification, is HIPAA-configurable, and is NIST AI RMF aligned, with FedRAMP Moderate listed on its roadmap.

Listening Post monetizes via annual subscriptions for enterprise platform licensing with quote-based pricing that varies by deployment type (on-prem, VPC, air-gapped) and scale. The go-to-market motion is exclusively direct enterprise field sales: a 30-minute scoping session leads to a 60-day private pilot, then a production contract — no self-serve, marketplace, or channel partner distribution is disclosed. The company appears to be at an early commercial stage: only one funding round is on record (a $500,000 raise from Battle Born Venture on 2025-09-26), no customers are named, no ARR is disclosed, and headcount specifics beyond the 11–50 range are not provided. Note: a firmographic field in the input describes Listening Post as a counseling services organization founded in 1991, which is inconsistent with the company's own product, security, and data materials describing a private AI platform; the description above is grounded in the company's primary materials.

Name

Listening Post

Legal name

Listening Post

Website

https://listeningpost.ai

Company type

Private

Founded year

1991

Operating status

Operating

Headcount range

11–50 employees

Short description

Listening Post provides a private AI platform — models, tooling, agents, infrastructure, and a behavioral data graph — deployed as a sidecar inside enterprise perimeters. It targets security-conscious enterprises and platform teams needing SOC 2-compliant AI without prompt or fine-tuning egress.

Ownership category

akta.pro rank

Product category

Enterprise Private AI Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)

akta.pro secondary industries

Model Hosting, Serving & Inference Platforms (HDAAACAB), Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI), Cloud Security Services (Posture Mgmt, Workload Protection) (BPAKAHAK)

Keywords

• Private ai platform
• Enterprise ai security
• Behavioral data graph
• On-premises ai deployment
• Ai orchestration software

Headquarters

HQ city

Gloucester

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Private AI Platform Subscription: Comprehensive platform subscription covering models, tooling, agents, and infrastructure deployed within customer perimeter. Pricing based on deployment type (on-prem, private cloud, air-gapped) and scale. Collapses typical 6-vendor private-AI stack into single contract, single audit.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Listening Post sells a complete private AI platform that deploys as a sidecar alongside a customer's existing data warehouses, document stores, internal APIs, and identity/IAM systems. The platform unifies open-weight and frontier models, an evaluation/observability/retrieval/guardrails tooling layer, long-running AI agents, and Kubernetes-native infrastructure into one subscription, with an optional behavioral data graph. Deployments run on-prem, in a private cloud (VPC), or fully air-gapped, ensuring prompts, embeddings, keys, and behavioral data never leave the customer perimeter.

Product overview

Listening Post is a complete private AI platform organized around four pillars — Models, Tooling, Agents, and Infrastructure — plus an optional behavioral data product called the Listening Post Graph. Models provides open-weight and frontier models deployed within the customer's perimeter; Tooling supplies evaluation, observability, retrieval, and guardrails as native primitives; Agents delivers long-running workflows that read data in place; Infrastructure handles inference, serving, and orchestration across on-prem, private cloud, or air-gapped postures. The Listening Post Graph adds a first-class data layer of 81,000+ behavioral signals across 65B graph nodes, licensed alongside the platform and queryable via natural language from any agent. Each pillar ships standalone but is designed to work together as a unified platform, collapsing the typical multi-vendor private-AI stack into one contract, one audit, and one upgrade path.

Differentiator

Problem solved

Functional benefit

Brands

• The Listening Post Graph: A first-class data layer inside the private AI stack providing behavioral graph data with 250M+ verified people and 60M+ businesses.

Products and services

• Listening Post Private AI Platform (Models, Tooling, Agents, Infrastructure) A complete private AI platform organized around four pillars: Models (open-weight and frontier models deployed in the customer's environment with no prompt egress or fine-tuning leakage, with quantization, distillation, and serving optimizations); Tooling (evaluation harness with golden datasets and regression gates, observability for traces/prompts/costs/drift, vector + lexical retrieval, and guardrails for PII redaction, policy, and allow-lists); Agents (long-running AI workflows authenticating as service accounts, querying data in place, with replayable audit logs, human-in-the-loop checkpoints, and scheduled/event-driven runs); and Infrastructure (Kubernetes-native inference, serving, and orchestration on customer GPUs with patented orchestration and BYO KMS/HSM envelope encryption). Sold as a single subscription to enterprise buyers; intended to collapse the typical six-vendor private-AI stack into one contract, one audit, and one upgrade path.
• Listening Post Graph A first-class behavioral data layer licensed alongside the platform: 250M+ verified people and 60M+ businesses covered, with 81,000+ real-world behavioral signals (purchase patterns, life events, employment, firmographics, identifiers) across 65B graph nodes and 16T pre-computed relationships recalculated daily. Deployed inside the customer's perimeter and queryable in plain English from any agent running on the platform. Marketed against legacy data stacks (LiveRamp, Apollo, ZoomInfo) with claimed 95% US adult coverage, 67% channel-verified activation accuracy, and daily reasoning-graph recalculation.

Quantifiable outcome

• 95% US adult coverage vs 80% legacy stack coverage
• +4 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature6 records

Partnerships

Three partnerships are on record, tiered core.

• MistralcoreTechnology or IntegrationOpen-weight model provider integrated into the Listening Post platform. Mistral models can be deployed within the customer's perimeter with no prompt egress or fine-tuning leakage.
• GemmacoreTechnology or IntegrationGoogle open-weight model integrated into the platform. Deployable behind customer firewall with BYO KMS/HSM key management.
• GPT-OSScoreTechnology or IntegrationOpen-weight model available on the platform alongside Mistral and Gemma. Supports bring-your-own checkpoints and fine-tunes.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Vast Data: Vast Data provides AI infrastructure (storage + compute) that supports private AI workloads on-prem and in air-gapped environments—an adjacent infrastructure peer addressing the same enterprise buyer interested in perimeter-resident AI.
• Scale AI: Scale AI's Donovan and SEAL product lines focus on private enterprise AI agents and evaluation tooling—overlapping with Listening Post's Agents and Tooling pillars for enterprises deploying agentic AI.

Broad incumbents

• Cloudera: Cloudera offers an enterprise data and AI platform with on-prem and hybrid deployment and strong security posture, comparable in regulated enterprise positioning though broader in scope than Listening Post's AI-focused stack.
• Databricks: Databricks Mosaic AI and the Data Intelligence Platform deliver enterprise AI including model serving, retrieval, and governance; comparable to Listening Post on the data + AI stack axis but operates as a broader incumbent across analytics, lakehouse, and ML.
• Snowflake: Snowflake Cortex and its broader AI/ML capabilities let enterprises run AI inside the data perimeter (a named integration target for Listening Post); a broader incumbent on the data platform axis but directly competes for the same enterprise AI budget.
• Hugging Face: Hugging Face Enterprise Hub delivers private model hosting, inference, and tooling for enterprises, comparable to Listening Post on open-weight model serving with security controls, though at a much larger scale and broader community footprint.

Direct peers

• SambaNova Systems: SambaNova offers private, on-prem AI infrastructure (DataScale) for enterprises and governments that cannot send data to public clouds—a direct architectural and buyer comparison to Listening Post's air-gapped deployment posture.
• Domino Data Lab: Domino provides an enterprise MLOps and private AI platform with governance, model serving, and audit features for regulated industries—closely aligned with Listening Post's enterprise, in-perimeter AI deployment posture.
• Palantir Technologies: Palantir's Foundry and AIP platforms deploy AI and data infrastructure inside customer perimeters for enterprise and government buyers with deep security and compliance requirements—directly comparable to Listening Post's private AI, in-perimeter positioning and CISO-led sales motion.
• Together AI: Together AI runs open-weight model serving and inference at scale, with private deployment options—closely comparable on the open-weight model hosting and inference side of Listening Post's Models pillar.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/listening-post-inc

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

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 Listening Post