25/09/2026
A new version os our Tools is now available. The major change is the sypport of Structured Output in LLM Calls.
12/09/2026
Today marks the official Beta launch of Contacter, an innovative suite of AI-powered tools engineered to transform contact center operations, eliminate high-cost vendor lock-in, and hand 100% infrastructure and AI model ownership back to businesses...
Contact center vendors often lock you into their proprietary solutions. They force you to use their preferred models and can overcharge you by 2x, 5x, or even 10x for LLM access. While you can and should negotiate terms upfront, AI will continue...

First, it is entirely agnostic when it comes to architecture, infrastructure, databases, and model providers. This eliminates the vendor lock-in that many contact center providers impose regarding AI technologies. Second, it allows you to build your own custom solution...
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Every day, you gather data from your contacts and customer interactions. Recording calls, emails, and chats is standard practice, and sometimes even legally required for certain purposes. However, simply storing data does not generate useful information. Data must be structured, filtered, tagged...
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~ Once you have gathered, transformed, enriched, and contextualized your customer interaction data and stored it in your database, you can leverage that information to improve customer communication. To achieve this, your database should integrate...
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Cryptographic signatures for maximum data protection
Convert your interaction logs into an immutable, audit-ready ledger. External or unauthorized edits break the signature loop instantly, securing your technical backups.
Streamlined operations via programmable automation
Leverage powerful CLI tools designed to easily integrate with your existing operational software via custom shell scripts. Fast-track your deployment cycle with a time-to-market of just 2 to 4 weeks.
No-code infrastructure for enterprise AI operations
Streamline transcription, AI data augmentation, and database mapping with a fast, no-code toolkit. Integrating autonomous Agentic AI into your software environment is made simple via our lightweight developer APIs.
All-in-One Solution
The Transcriber is an all-in-one engine engineered to seamlessly transcribe calls and other voice interactions into structured text.
Advanced Multi-Track Support
Automatically identifies independent channels, merges highly correlated stereo tracks, and mitigates overlapping speaker segments.
Crosstalk Detection & Suppression
Actively detects acoustic crosstalk and bleeding between channels, suppressing audio leaks to eliminate duplicate transcriptions.
Comprehensive Metadata & Automated Tagging
Stores extensive session metadata within the unified CTT file—including transcription text, confidence scores, and audio metrics. Features a programmable tagging engine to isolate behavioral profiles (such as IVR or ANNOUNCEMENT) and environmental phrase cues (such as WEAK_SIGNAL or UNCERTAIN_AUDIO).
Data Visualization
Instantly inspect the fully updated, dynamically structured, and cryptographically signed data model.
Immutable Data Management
Appends or modifies elements within the CTT ledger using secure evaluation rules. Every transaction is fully audited, tracked, and digitally signed. Unauthorized personnel lacking private key access cannot mutate any records without breaking data integrity and invalidating the signature.
Audit Trail & Revision Logs
Provides full visibility into the historical lifecycle of your data, rendering the explicit changes and deltas applied to any element across separate pipeline revisions.
Rapid Metadata Re-Tagging
Executes automated tagging routines to append or refresh behavioral and environmental indicators across your calls, speakers, or dialogue lines—without having to run the heavy speech-to-text pipeline again.
Dynamic Model Orchestration
Define, manage, and swap your targeted Large Language Models dynamically based on the complexity of the AI enrichment operations you intend to execute. Seamlessly orchestrate pipelines across lightweight local on-premise deployments via Ollama or enterprise-grade cloud providers using the OpenRouter gateway. This architecture allows you to optimize latency, control API token spend, and align hardware capabilities strictly with your analytical goals.
Programmable Prompt Engineering & Simulation
Construct highly contextual SYSTEM and USER prompts by merging custom static instructions, structural constraints, and few-shot examples with live data tokens extracted directly from your CTT file. Leveraging advanced Cequation formulas, the engine manages prompt assembly and contextual boundaries automatically. Utilize built-in dry-run simulation parameters to test your prompt payloads, audit the context window layout, and evaluate model behavioral responses before committing to live token transactions.
Automated Structured Response Parsing
Deploy a programmable JSON response processor engineered to automatically parse, validate, and sanitize incoming structured payloads generated by the AI model. The interpreter safely isolates the AI response data and accurately translates it into newly enriched metadata blocks. These generated insights are seamlessly patched back into a new, cryptographically signed ledger version of the CTT file, neutralizing the risk of unstructured formatting errors or model hallucinations corrupting your dataset.
Flexible Schema Mapping
Initialize your relational or vector database target and describe its layout directly to the Placer utility. Armed with this structural knowledge, Placer dynamically maps internal data attributes, handles constraints, and automatically provisions ingestion pipelines to route your enriched communication metadata safely into your enterprise persistent storage layers.
Programmable Transactional Workflows
Program complex database operations tailored precisely to your specific table architectures, primary indexing keys, and custom fields. Placer can be configured using advanced Cequation logic extensions to execute flexible, idempotent workflows—safely orchestrating conditional INSERT, safe-skipping, strict UPDATE, or robust transactional UPSERT operations based on your live operational constraints.
Native JSON & Vector Embeddings Support
Declare your complex nested JSON metadata layers and high-dimensional vector fields once within the system configuration. Placer handles the serialization under the hood, automatically converting raw conversational text payloads into mathematical embeddings via the specific local or cloud-hosted models you program it to deploy.
Introducing Our Next-Generation AI Tools for Contact Centers (Beta Launch). We are thrilled to announce the official Beta launch of our innovative suite of AI tools designed specifically to transform contact center operations. This release represents a significant milestone in our mission to empower customer service teams with advanced automation.
By joining our Beta program, your organization will gain early access to cutting-edge features engineered to streamline workflows, reduce handle times, and significantly elevate the overall customer experience.Participation in this Beta phase is completely free of charge. Our primary goal during this period is to collaborate closely with you to refine the platform. Your insights are invaluable to us, and we will actively use your feedback to identify potential issues, resolve bugs, and gather feature requests to shape our final product roadmap. Sign up today to test these tools in your environment and help us build the future of AI-driven customer support.
Bring the power of next-generation AI directly to your Contact Center with Contacter. Start with a free trial, scale your operations at an unbeatable cost, and maintain 100% ownership of your solution.