Polynomial.ai
Capabilities

Eight capabilities.
One production discipline.

Every Polynomial capability is engineered against the same production principles — so they compose into real enterprise systems, not demos.

Production principles

The four principles behind every capability.

Grounded in enterprise data
Agents draw from your systems of record — not open-web guesses.
PII masking by default
Sensitive data is masked before it reaches any model.
Observable end-to-end
Every step is inspectable, measurable and reviewable.
Human approval where it matters
People stay in control wherever judgement, risk or policy requires it.
01

Conversational AI & Enterprise Knowledge Assistants

Grounded assistants connected to your knowledge bases, wikis, ticketing, CRMs and databases. Answers are cited, sensitive data is masked, and agents escalate to people when confidence drops.

Enterprise KnowledgeGrounded AnswersCitationsHandoff
02

Agentic Workflow Automation

Multi-step agents that watch queues, inboxes and events, gather context, apply reasoning and draft the next best action — with human approval where risk demands it.

Multi-step WorkflowsEvent TriggersHITL Approvals
03

Voice AI over Telephony

Voice agents that speak on real telephony, handle interruptions and remain grounded in enterprise data. Warm handoff to people when the conversation requires it.

Live TelephonyInterruptible SpeechGrounded Voice
04

Document Intelligence & Financial Automation

Invoice, KYC, contract and statement pipelines combining document understanding and LLM reasoning with validation rules, mapping and reconciliation loops.

Document UnderstandingValidationReconciliationERP Integration
05

Human-in-the-Loop & Agent Collaboration

Purpose-built consoles where humans observe, join, approve or take over any AI-led interaction — with clean handoff back to the AI.

HandoffApprovalsLive ConsolePolicy Engine
06

Secure Enterprise Integration

A hardened integration layer that fronts your enterprise systems — enforcing least-privilege scopes, PII masking, request signing and structured audit.

Enterprise APIsLeast PrivilegePII MaskingStructured Audit
07

Cost-Controlled AI at Scale

Model routing across providers, prompt and semantic caching, per-tenant metering and hard budget controls — so LLM systems remain economically viable at scale.

Multi-model RoutingCachingMeteringBudgets
08

AI Orchestration & Model Engineering

Multi-model orchestration, evaluation, prompt & policy engineering and continuous evaluation — the disciplined engineering practice that keeps enterprise AI working in production, not just in demos.

OrchestrationEvaluationPrompt & PolicyContinuous Improvement

Not sure which capability fits your problem?

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