Voice, document, and intelligence solutions we've shipped as MVPs and pilots — anonymized to protect customers, detailed enough to defend the architecture.
Identity-first, schema-validated, and audit-ready by design. Every voicebot we ship inherits this backbone — adapted to the domain but never the principles.
Each follows the same architectural principles, configured to the domain. Pilots and MVPs delivered for enterprises and high-growth startups.
Replaces scripted IVR with agentic voice. Identity-gated calls, schema-validated CRM and ERP write-back, multi-language support, and a full audit trail on every interaction.
Multilingual voice and chat assistant for benefits, eligibility, and policy queries. Hybrid RAG over policy documents and HR systems with identity-gated personalization.
Multi-agent research pipeline — research, scrape, extract, score, report. Three operating modes (Light, Deep, Human-Assisted). Every output is citation-linked and auditable.
Multi-agent document understanding for invoices, contracts, and compliance documents. Structured extraction, classification, validation, and write-back with citation-linked traceability.
Autonomous agents for PO-to-invoice reconciliation, resume screening, background verification, and similar document-driven workflows. Schema-validated outputs, exception handling, audit by default.
Conversational, voice-enabled platform for financial services teams. Multi-agent orchestration over structured data, documents, and policy. Architected for on-prem or controlled deployment where data residency matters.
Most "voicebots" are scripted IVR with a thin LLM wrapper. Ours are agentic by design — every conversation is gated by identity, executed deterministically, and audited end-to-end.
Phone OTP and KYC verification happen before any agentic action. No information is disclosed and no system is touched until the caller is verified. Token forwarding ensures every downstream call carries identity context.
Every CRM and ERP write goes through schema validation, idempotency keys, contract enforcement, and field-level checks. The agent cannot send malformed or unsafe data into your enterprise systems — by architecture, not by prompt.
Intent and sub-intent routing is policy-driven and explainable. New intents are added without re-architecting the system. Optional multi-tenant support for partners and BPOs at scale.
The agentic primitives that compose every solution we ship. These aren't libraries glued together per project — they're the spine of our reference architecture.
LangGraph, CrewAI, n8n — picked per solution to match the latency and control profile.
Federated tool access across enterprise systems. Identity context preserved end-to-end.
Vector plus SQL plus policy FAQs, with structured citations on every answer.
JSON validation, contract enforcement, idempotency keys, field-level rules.
Cost-tuned routing across frontier models and domain SLMs for accuracy without bill shock.
Full execution trace, replay, and compliance export — wired in from the first commit.
We ship pilots that survive contact with the real world. The reasons aren't marketing — they're architectural decisions made before line one of code.
Vendor-agnostic by design. Swap STT and TTS providers, foundation models, or vector databases without rebuilding the application layer. The agentic core doesn't care which model answers the call.
Multi-intent gating, schema validation, and policy enforcement are configuration-driven. New domains and intents are added without re-architecting the platform — weeks instead of quarters.
Horizontal scaling at every tier. Queue-based agent execution and stateless workflows take you from pilot to production without a rewrite. The architecture you start with is the one that ships.
Hybrid LLM and SLM routing with token metering lets you re-tune cost, latency, and accuracy as the model landscape shifts. MVPs typically shipped in four to eight weeks.
We work in fixed-budget pilots, extended development pods, and managed AaaS engagements. Let's scope yours.
