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Agent as a Service

The control layer for AI-native companies.

Echomode sits between any app and any model, governing behavior in real time and producing a deterministic record of every turn. Swap providers, orchestrators, or frameworks without rebuilding what runs your agents.

Echomode sits between any app and any model, governing behavior in real time and producing a deterministic record of every turn. Swap providers, orchestrators, or frameworks without rebuilding what runs your agents.

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Works with OpenAI, Anthropic, LangGraph, AutoGen, and anything else you’re running.

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Why Echomode exists.

In 2026, the biggest enterprises are deploying AI faster than any technology in history. They have platform teams of fifty engineers building the boring half — the audit trail, the RBAC, the drift detection, the persona registries. That work is what makes their AI safe to ship at scale. A 200-person company can't do that. A 50-person company can't even staff it.

In 2026, the biggest enterprises are deploying AI faster than any technology in history. They have platform teams of fifty engineers building the boring half — the audit trail, the RBAC, the drift detection, the persona registries. That work is what makes their AI safe to ship at scale. A 200-person company can't do that. A 50-person company can't even staff it.

In 2026, the biggest enterprises are deploying AI faster than any technology in history. They have platform teams of fifty engineers building the boring half — the audit trail, the RBAC, the drift detection, the persona registries. That work is what makes their AI safe to ship at scale. A 200-person company can't do that. A 50-person company can't even staff it.

The model isn't the moat. Everyone is calling the same handful of APIs. The thing that separates an AI-native enterprise from an AI-native startup is the control layer underneath — and that layer has been bespoke engineering for the people who could already afford it.

The model isn't the moat. Everyone is calling the same handful of APIs. The thing that separates an AI-native enterprise from an AI-native startup is the control layer underneath — and that layer has been bespoke engineering for the people who could already afford it.

Echomode is that layer, off the shelf. Same proxy, same persona governance, same audit trail, same RBAC — whether you're a Fortune 500 or a team of twelve. The control layer for the next decade of AI shouldn't be a moat for companies that already have moats.

Echomode is that layer, off the shelf. Same proxy, same persona governance, same audit trail, same RBAC — whether you're a Fortune 500 or a team of twelve. The control layer for the next decade of AI shouldn't be a moat for companies that already have moats.

The downstream pipeline for AI should belong to everyone who's shipping it.

The Stack

Build with you. Control in real time. Prove on demand.

Workflows

Multi-step orchestration.

Chain agents into flows. Branch on what they say. Sketch the DAG we run it.

BYO Inference

Plug in your own provider.

Your keys, your endpoints. Your data stays put. Paste them in — we route from there.

A

Anthropic

✓

O

OpenAI

✓

M

Meta

✓

Behavior Control

Control how agents behave — not just observe them.

Three layers run in real time, every turn. Set the persona, scope the

knowledge, see why each decision shipped. Drift gets corrected

before it reaches your customer — not flagged after the fact.

Three layers run in real time, every turn. Set the persona, scope the knowledge, see why each decision shipped. Drift gets corrected before it reaches your customer — not flagged after the fact.

Who

Who

Persona

Define who the agent is — voice, tone, refusal patterns, scope. Set it once; we hold the line, turn after turn.

What

What

Knowledge

Decide what the agent can reach. State-aware retrieval pulls the right context for the moment — never more, never stale.

Why

Why

Observability

Every decision comes with its receipt. State, hashes, tools, model, latency — captured the instant it happens.

Evals

Test agents like code.

Catches regressions before ship. Plugs into the CI you already run.

Agent score

High

94

Prompt Alignment

97

Legal Disclaimer

93

Evidence Grounding

98

Legal Precision

91

Structured Output

Drift Correction

Stay on-persona, every turn.

Catches drift the moment it starts. Set the persona once — we hold the line. Counter-steer before it ships.

Runtime Monitor

engineer-chatbot · 19 rounds

Alignment

#1

#1

#2

#2

#3

#3

#4

#4

#5

#5

#6

#6

#7

#7

#8

#8

#9

#9

#10

#10

#11

#11

#12

#12

#13

#13

#14

#14

#15

#15

#16

#16

#17

#17

#18

#18

#19

#19

0

25

50

75

100

#1

#2

#3

#4

#5

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#10

#11

#12

#13

#14

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#19

State:

Stable

Mild

Moderate

Severe

Enterprise

Fits the stack you already run.

Fits the stack you already run.

RBAC inherits from the caller. Identity flows through

your IdP. Deployments ride your existing CI. Keys and

data stay in your perimeter — nothing to retrofit.

RBAC inherits from the caller. Identity flows through your IdP. Deployments ride your existing CI. Keys and data stay in your perimeter — nothing to retrofit.

SC

Sarah Chen

Sarah Chen

Editor

JM

James Mitchell

Designer

AR

Amina Rahman

PM

BR

Bridgette Raze

Member

RBAC

SOC 2

SOC 2

OAuth / SSO

VPC

Audit Pack

SAML

CI/CD

BYO Keys

BYOK

Audit Ready

TURN 142

a3f2…7e

stable

TURN 143

8c1e…44

stable

TURN 144

2d9f…b1

drift

TURN 145

f701…2c

stable

Your agents

Anomaly · policy · review

Big-4 / internal review

SOC 2 · ISO · audit pack

Your warehouse

BigQuery · Snowflake · S3

Sufficient signal — wherever your

audit lives.

Sufficient signal — wherever your audit lives.

Every turn captures persona, state, decision, hashes, model, latency, and tools. Stream it to your warehouse, hand it to your agents, hand it to your Big-4 reviewer.

Every turn captures persona, state, decision, hashes, model, latency, and tools. Stream it to your warehouse, hand it to your agents, hand it to your Big-4 reviewer.

TURN 142

TURN 142

a3f2…7e

a3f2…7e

stable

stable

TURN 143

TURN 143

8c1e…44

8c1e…44

stable

stable

TURN 144

TURN 144

2d9f…b1

2d9f…b1

drift

drift

TURN 145

TURN 145

f701…2c

f701…2c

stable

stable

Your agents

Your agents

anomaly · policy · review

Anomaly · policy · review

Big-4 / internal review

Big-4 / internal review

SOC 2 · ISO · audit pack

SOC 2 · ISO · audit pack

Your warehouse

BigQuery · Snowflake · S3

Your warehouse

BigQuery · Snowflake · S3

Enterprise

Fits the stack you already run.

RBAC inherits from the caller. Identity flows through your IdP. Deployments ride your existing CI. Keys and data stay in your perimeter — nothing to retrofit.

SC

Sarah Chen

Editor

JM

James Mitchell

Designer

AR

Amina Rahman

PM

BR

Bridgette Raze

Member

RBAC

SOC 2

OAuth / SSO

VPC

Audit Pack

SAML

CI/CD

BYO Keys

BYO Inference

Plug in your own provider.

Your keys, your endpoints. Your data stays put. Paste them in — we route from there.

A

Anthropic

✓

O

OpenAI

✓

M

Meta

✓

Not sure where to start? Tell us about your business to get
personalized product access.

Find what’s right for you

Built for change

Don’t let your provider be your bottleneck.

New models ship every quarter. People are playing tool catchup. Compliance posture shifts as regulators catch up.
EchoMode absorbs all of it — so the system governing your agents stays stable while everything underneath it moves. Built for flexibility.

Swap the model.

Swap the model.

Swap the model.

+ more soon

+ more soon

Swap the runtime.

Swap the runtime.

Swap the runtime.

Any backend.

Any frontend.

Any deployment target

+ more soon

Swap the integrations.

Swap the integrations.

Swap the integrations.

+ more soon

+ more soon

Your control logic stays put when the rest of the stack moves.

Solutions

Built for B2B verticals where mistakes

have weight.

Customer-facing agents

Support and sales that stay on-persona, session after
session.

Support and sales that stay on-persona, session after
session.

Support and sales that stay on-persona, session after session.

Learn more →

Agent as a Service

Policy agents your compliance team will sign off on.

Learn more →

Enterprise and Admin

Drop agents into your product. RBAC and routing come
along.

Drop agents into your product. RBAC and routing come
along.

Drop agents into your product. RBAC and routing come along.

Learn more →

Brutal integration

Connect in the duration of a coffee.

Connect in the duration of a coffee.

Change one line. Your client, your model, your frontend, your deploy target untouched. Echomode governs every call: routing your BYO inference, scoring drift, enforcing RBAC, writing the audit log. Switch on or off with one URL.

Change one line. Your client, your model, your frontend, your deploy target untouched. Echomode governs every call: routing your BYO inference, scoring drift, enforcing RBAC, writing the audit log. Switch on or off with one URL.

BYO Model

One URL

LLM-agnostic

client.py

from openai import OpenAI

client = OpenAI(

base_url="https://api.Echomode.ai/v1",

api_key=YOUR_KEY,

)



# Everything else stays the same.

That’s it. You’re now running through your control layer, governed.

agent.ts

import { Echomode } from "@Echomode/sdk";

const agent = new Echomode({

apiKey: process.env.EchomODE_KEY,

inference: {

provider: "anthropic",

model: "claude-opus-4-7",

},

});

await agent.run({

persona: "support",

input: userMessage,

// FSM + drift detection wired automatically

});

Built for agents

Or go native in five lines.

Every part of the platform is exposed as API and SDK — personas, FSM, drift hooks, eval fixtures, audit queries. Reach for whichever surface fits where your agent already lives. TypeScript and Python.

View docs

Quickstart →

Brutal integration

Connect in the duration of a coffee.

Change one line. Your client, your model, your frontend, your deploy target — untouched. Echomode now governs every call: routing your BYO inference, scoring drift, enforcing RBAC, writing the audit log. Switch on or off with one URL.

BYO Model

One URL

LLM-agnostic

client.py

from openai import OpenAI

client = OpenAI(

base_url="https://api.Echomode.ai/v1",

api_key=YOUR_KEY,

)



# Everything else stays the same.

That’s it. You’re now running through your control layer, governed.

Agents that learn from your team. Powered by every session that came before.

Read a case study →

Valence

Neusha Sayadian

Fractional CFO at Valence

“Our agents stopped hallucinating policy edge cases the day we
plugged Echomode in. Drift detection caught two regressions before
our customers ever saw them.”

Valence

Refund Policy

refunds.pdf

Apr 2026

Support team

SC

MK

Sarah Chen · Dave Agent

Refund eligibility

Refund-eligible orders must be flagged within 30 days of purchase and tied to a

verified shipment record. Requests under $50 with intact packaging are auto-

approved when the customer’s lifetime support cost remains below threshold,

while requests that exceed item value or ship history require manual review by a

senior agent.

Ready to run agents in production?

Connect in an afternoon. Govern in real time. Prove it after.

Get started free

Book a demo

The control layer between any app and any model.

Product

Runtime Control

Audit Trail

Proxy API

Dataroom

Persona Builder

Pricing

Solutions

Customer-facing Agents

Enterprise & Admin

Agent as a Service

Resources

Documentation

Blog

Company

About

Contact

team@echomode.io

© 2026 echomode.io

The control layer between any app and any model.

Product

Runtime Control

Audit Trail

Proxy API

Dataroom

Persona Builder

Pricing

Solutions

Customer-facing Agents

Enterprise & Admin

Agent as a Service

Resources

Documentation

Blog

Company

About

Contact