Intelligence inside clear boundaries: AI that knows what it may decide alone, and what it must hand to a person.
Our Philosophy
For 15 years Voicegap has been the practice of Charles (Chuck) Kosta, Sc.D., who holds a doctorate in Computer Science (Artificial Intelligence) from UMass Lowell. His doctoral work built a virtual factory run by cooperating expert systems, an early multi-agent system.
Since then: rule-based systems for NASA and FAA programs, a founding role at an AI self-service company, more than a decade on production voice platforms, and engineering leadership in retail and cloud. Today the same idea runs agent organizations.
From natural language processing to advanced pattern recognition, we offer cutting-edge AI solutions tailored to your needs.
Advanced NLP systems that understand context, intent, and nuance across vast text corpora with human-like comprehension.
Learn moreHybrid architectures blending symbolic reasoning with modern machine learning for interpretable, reliable systems.
Learn moreSophisticated analysis of word patterns to detect sentiment, topic shifts, and linguistic anomalies with precision.
Learn moreTransparent probabilistic frameworks that show clear reasoning paths from question to answer, building trust.
Learn moreNext-generation systems that adapt to novel patterns and draw insights from incomplete data structures.
Learn moreEthical AI design prioritizing interpretability, fairness, and positive human impact in every decision.
Learn moreAgentic systems, detection, private LLM infrastructure, voice and virtual worlds, with senior leadership to tie them together.
Built on OAA, our open-source architecture: agents fill roles, roles require skills, skills require tools. Each role declares what it owns, decides, escalates and must never do, and the rules are enforced at the tool layer.
Learn moreMessaging for agents over plain HTTP and MCP, with durable, resumable channels and short-lived scoped tokens, so agents coordinate through storage rather than fragile live connections.
Learn moreStatistical detection engines for transaction and event streams, designed to run serverless on AWS. Designed and built for a new product offering at a prior role.
Learn moreSelf-hosted Ollama deployments delivering prompts as a managed service, so your data stays on infrastructure you control. Designed and built for a new product offering at a prior role.
Learn moreNuance/VoiceXML, Twilio and Asterisk platforms, plus an IBM Watson voice-ordering pilot, and AI-driven 3D characters, including an Inworld AI to Second Life connector built under a 2024 grant.
Learn moreHands-on architecture and AI strategy for teams that want production systems, not proofs of concept that stall. Engagements combine advice with delivery.
Learn moreDefine the limits first, build in the open, and keep it running.
We start with the business: which roles exist, what each owns, what each may decide alone, what must be escalated, and what is never allowed.
Rules compile into each agent and are enforced at the tool layer. You can read what your AI may do, and see why it did what it did.
We measure real runs, tighten the rules from what the logs show, and hand over systems your team can operate for years.
Tell us what needs to get done. We'll tell you honestly whether AI belongs in it, and what boundaries it will need.