Your enterprise Data
Data platforms, knowledge bases, documents, APIs -connected through 100+ enterprise connectors and a governed MCP tool layer.
Everything an enterprise needs to run agents.
PHTN.ai is a smart orchestration layer between your data, multiple LLMs, and your business applications. Design agents, govern them, observe them, and deploy them - without stitching together a dozen tools.
Your data lives in many systems. Your models come from many providers. Your work happens in many applications. PHTN.ai sits between them - enterprise context, domain aware, LLM agnostic.
Data platforms, knowledge bases, documents, APIs -connected through 100+ enterprise connectors and a governed MCP tool layer.
Super agents orchestrating sub agents - with guardrails, observability, and governance built in.
148 models across 14+ LLM providers, plus the business applications where outcomes land.
Everything runs on the same catalog, the same security model, and the same observability stack.
Component 01
An NLP-powered studio that builds a super agent directly from a job description. The super agent coordinates a team of specialized sub agents on a visual canvas - no code required, pro-code welcome.
Component 02
The foundation to securely govern, monitor and scale AI agents across the enterprise. Full lifecycle management from design to retirement, with multi-tenancy, RBAC, and triple-pillar observability built in from day one.
Component 03
A growing marketplace where specialized sub-agents and super agents come together — making it easy to find and deploy the right AI for any task.
Not bolted on later. Governance, observability, and interoperability are first-class citizens of the platform.
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LLM providers - switch models without reviewing a workflow
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Guardrails across safety, privacy, security, quality, compliance, and cost
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Orchestration patterns with 1:1 execution models in the super-agent schema
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Quality metrics scored on every interaction by the Panel of Judges
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Fine-grained RBAC permissions across 13+ enterprise roles
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Connectors - SAP, Salesforce, ServiceNow, Databricks, Snowflake, and more
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OpenTelemetry fields captured on every LLM call
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Levels of multi-tenancy, from group down to individual agent
A microservice-based platform whose modules you can adopt together or independently - all observable through unified FinOps, TechOps, and AIOps dashboards.
Module
What it does
Agent Studio
Visual and conversational orchestration designer with execution groups
Agent Lifecycle Manager
Agent creation and versioning, orchestration schema, and the Ask AI conversational build service
Middleware Core
API gateway, RBAC enforcement, tenant resolution, and identity federation
RAG Service
Knowledge base management, document processing, and vector indexing with five pre-built pipeline templates
Super-Agent Framework
Multi-agent orchestration runtime driven by a complete, exportable orchestration schema
Sub-Agent Framework
Individual agent runtime for catalog and custom agents alike
Observability Platform
FinOps, TechOps, and AIOps dashboards over shared, OpenTelemetry-native telemetry
Release Management
Versioned, auditable database and platform release management
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Strategy & Business Process Transformation
Determine a strategy before deciding how to build it.
02
AI-Driven Creative Design
Design the layer where people interact with AI.
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AI-Driven Software Development
Build, deploy, and operate AI at enterprise scale.
Triple-pillar observability turns every agent interaction into telemetry your finance, operations, and risk teams can act on.
A panel of judges - three to five independent evaluators - scores every interaction in real time across 25+ metrics, from hallucination and faithfulness to prompt-injection detection. Low confidence triggers a retry, a human review, or a kill switch. The platform generates its own business case.
Extend the platform with 12 purpose-built feature bundles designed to support different teams, workflows, and enterprise needs. Each bundle brings together related capabilities in a focused experience, helping organizations adopt the functionality they need without adding unnecessary complexity.
Mix and match modules as your AI ecosystem evolves, creating a platform that fits the way your organization works today and scales with what comes next. Teams can expand capabilities over time while maintaining a consistent experience across the platform.
Token-level cost tracking per agent, model, and tool. Budget enforcement, cost-anomaly alerts, waste detection, forecasting, and chargeback reporting.
Latency, error rates, throughput, uptime, and distributed traces — with SLO tracking your SRE team will recognize.
Toxicity, hallucination, PII leakage, prompt injection, jailbreak, and bias — monitored continuously with 53+ configurable alert rules.
From your cloud marketplace into your tenant, hosted SaaS, white-labeled OEM, or licensed with source. Four models - one platform.
0 minutes. A live super-agent walkthrough.
Book a DemoOr drop us a line at [email protected]