Secure, scalable, under your control
Flexible deployment, open integrations, and no vendor lock-in.
Senseloom is a web application that runs in any modern browser - there is nothing to install, no desktop client, no plugins. The platform follows a client-server architecture with a separate frontend and backend connected through a GraphQL API. This means the same API that powers the web interface is available for your own integrations and automations.
The backend uses a relational database for structured data, a search engine for full-text search across transcripts, and an in-memory store for task queue management and caching. Audio files are stored in S3-compatible object storage. Heavy tasks like transcription and AI analysis run asynchronously in background workers, keeping the API responsive under load.
The platform uses a multi-model AI architecture. Rather than locking you into a single provider, Senseloom supports multiple LLM providers for analysis and scoring. For speech-to-text, the platform integrates with best-in-class transcription services with automatic speaker diarization and language detection. When better models become available, they can be added to the pipeline without changes on your side.
The processing pipeline is modular: audio goes through transcription, speaker diarization, search indexing, and then AI analysis stages. Each stage runs independently as a queued task. The system is built for horizontal scaling - processing capacity grows linearly by adding more workers. The platform is stateless at the processing layer, making it straightforward to scale individual components based on your workload.
Senseloom is fully containerized. The cloud option is a managed SaaS - we handle infrastructure, updates, and scaling. Your team gets access immediately without hardware or DevOps involvement.
For organizations with strict data residency or regulatory requirements, we offer on-premise deployment. Senseloom runs within your own data center or private cloud. The entire stack is deployable as containers. Your IT team controls the update schedule, network policies, and resource allocation.
Hybrid deployment is also possible - for example, keeping call recordings in your own storage while using our cloud infrastructure for AI processing. We work with your team during onboarding to determine the right deployment model based on your security policies, compliance requirements, and operational capacity.
Senseloom exposes a GraphQL API that provides full programmatic access to every feature in the platform. You can upload recordings, trigger transcription and analysis, retrieve results, manage users, and configure quality scoring criteria. The API supports batch imports via ZIP files with automatic per-file processing and status tracking.
Authentication is handled through API keys scoped to specific roles with support for read-only mode and expiration dates. Keys can be rotated and revoked without downtime. Every key tracks its last usage for audit purposes.
The API covers the full call lifecycle: upload, transcription, AI analysis (classifications and compliance checks), manual review workflows, search, and reporting. Analysis definitions - the rules that drive quality scoring and compliance checks - can be managed entirely through the API, including creating, versioning, and bulk-testing definitions against historical calls.
Senseloom is an open platform. Every feature available in the web interface is also available through the GraphQL API - uploading calls, triggering analysis, reading scores and transcripts, managing definitions, pulling reports. If you can do it in the UI, you can automate it or build on top of it.
For call recordings, we can integrate with any phone system or CRM to fetch audio files and metadata based on your specific requirements. Whether your recordings come from a cloud contact center, an on-premise PBX, or a third-party recording platform, we work with your team to set up the right integration path.
For authentication, Senseloom supports enterprise identity management including Active Directory and LDAP. This works with both cloud and on-premise deployments, so your users authenticate through your existing directory services without managing separate credentials.
All data is encrypted in transit. API keys are securely hashed and scoped to specific permission levels. The platform enforces standard web security protections and secure session policies. Access control uses role-based permissions. Every call stage transition is logged with the user, timestamp, and previous state, providing a complete audit trail for compliance reviews. API key usage is tracked with last-used timestamps.
Authentication uses JWT tokens with automatic refresh. The identity provider supports session management, brute-force detection, and multi-factor authentication through its own configuration.
The platform is designed so that no single vendor controls your data pipeline. AI providers can be swapped, transcription providers are configurable, and storage backends are S3-compatible. Calls can be permanently deleted with full cleanup across the database, search index, and file storage. The trash stage auto-empties after a configurable period for automated data lifecycle management.
There is no proprietary format that locks your data in. Transcripts, analysis results, and call metadata can be accessed through the GraphQL API. Analysis configurations (quality scoring definitions, compliance check rules) can be exported and imported as JSON files, making it straightforward to back up or migrate your setup.
See our commitment to security for a detailed overview of how we protect your data across every layer of the platform.