Deploy AI agent in 5 lines of code

Build and deploy AI agents in 5 lines of code.

Custodian Labs takes you from idea to deployed, production-grade AI agent — with privacy built in at every layer. No infrastructure. No data leakage.

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agent.py

from custodian_labs import Custodian

model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant...", )

model.deploy()

Why Custodian

Everything you need. Nothing you don't.

Guardian layer

The proprietary Guardian Layer is the guardrail that detects PII and puts you in control of how it's handled before it reaches any model.

RAG out of the box

Give your agent long-term memory and document retrieval without configuring embeddings or vector DBs. Add a knowledge base in one line and it just works.

Model-agnostic

Switch between OpenAI, Anthropic, Mistral, or local models with one line — no vendor lock-in, no rewrite required. Your agent logic stays exactly as it is; only the model underneath changes.

Get started for free

Zero infrastructure

No database to provision, no vector store to connect, no hosting to manage. Custodian abstracts every layer beneath your agent so you focus entirely on logic.

Research-grade foundations

Commercialised with AUT Ventures and New Zealand Government funding. Production reliability grounded in deep academic research.

The Custodian Difference

No databse. No hosting. Just deploy.

Normally you'd provision a vector DB, set up a hosting environment, wire up your model provider, write retry logic, handle streaming — all before writing a single line of agent logic. Custodian collapses that entire stack to a function call.

Without Custodian

With Custodian

Step 1: Provision a vector DB + embedding pipeline

pinecone.init(apikey=...), index = pinecone.Index("my-index") embedder = SentenceTransformer("all-MiniLM-L6-v2") chunks = [text[i:i+512] for i in range(0, len(text), 448)] index.upsert([(f"doc{i}", embedder.encode(c)) for i, c in enumerate(chunks)])

Step 2: Manual PII scrubbing (fragile regex, hope for the best)

re.sub(r"[A-Z][a-z]+ [A-Z][a-z]+", "[REDACTED]", prompt)

Step 3: Tool dispatch + retry logic

def callwithretry(messages, maxretries=3): for attempt in range(maxretries): try: return client.chat.completions.create(...) except: time.sleep(2 ** attempt)

Step 4: Session memory via Redis

redisclient.setex(f"ctx:{sessionid}", 3600, json.dumps(messages[-20:]))

Step 5: Flask server, auth, rate limiting, CORS, logging...

Step 6: Write your Dockerfile, k8s config, CI/CD pipeline...

Step 7: Finally — your agent runs. Maybe.

from custodian_labs import Custodian

model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant...", )

model.deploy()

Multi-agent capabilities

Assemble your team. Deploy as one.

Build teams of specialised agents that each handle their own domain — then deploy them as a single unified endpoint. Custodian's router automatically directs each query to the right agent.

Give each agent its own data sources, tools, system prompt, and topic scope. Scale the team without rewriting the interface.

the_engineer

Technology & engineering questions

the_strategist

Intelligence & strategy queries

the_scientist

Science & research topics

router

Automatically routes every query to the right agent

allstars_team.py

from custodian_labs import Agent, AgentTeam

team = AgentTeam( agents=[ Agent( name="theengineer", model="gpt-4o", systemprompt="You are a senior engineer. Handle all tech and engineering questions.", topics=["technology", "engineering", "AI"], ), Agent( name="thestrategist", model="gpt-4o", systemprompt="You are a strategy lead. Handle intelligence and strategy questions.", topics=["intelligence", "strategy", "espionage", "tactics"], ), Agent( name="thescientist", model="gpt-4o", systemprompt="You are a research scientist. Handle science and research questions.", topics=["science", "research", "biology", "physics"], ), ], routing_mode="single", )

app = team.deploy()

Proprietary technology

Introducing the Guardian Layer

Most privacy solutions simply strip PII — but stripping context destroys AI accuracy. The Guardian Layer detects PII intelligently, then gives you full control over what happens next, without the original PII ever leaving your envionrment.

Custom PII entities

Define your own entity types beyond the defaults — internal employee IDs, product codes, proprietary terms. Guardian Layer learns your schema.

Person

Email

Phone

Org

Currency

Employee_ID

Product_Code

• Custom

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Transform

Sent to AI model

Schedule a follow-up with Alex Morgan at alex@synthco.io about the contract renewal for $240,000 .

Returned to you with PII relinked

Follow-up scheduled with James Harrington for Thursday at 2pm. Calendar invite sent to james@acmecorp.com .

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Mask / redact

Sent to AI model

Schedule a follow-up with [PERSON] at [EMAIL] about the contract renewal for [CURRENCY] .

Returned to you with PII relinked

Follow-up scheduled with [PERSON] for Thursday at 2pm. Calendar invite sent to [EMAIL] .

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Detect only

Sent to AI model

Schedule a follow-up with James Harrington PERSON at james@acmecorp.com EMAIL about the contract renewal for $240,000 CURRENCY .

Detection report

Person

James Harrington

99%

Email

james@acmecorp.com

100%

Currency

$240,000

97%

Org

acmecorp

88%

Transform

Replaces personally identifiable information (PII) with synthetic equivalents that preserve meaning

Mask / redact

Replaces personally identifiable information (PII) with a typed label — the fastest and most conservative transform

Detect only

Only surface what Replaces personally identifiable information (PII) exists, without modifying any text

Transform

Replaces personally identifiable information (PII) with synthetic equivalents that preserve meaning

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Transform

Sent to AI model

Schedule a follow-up with Alex Morgan at alex@synthco.io about the contract renewal for $240,000 .

Returned to you with PII relinked

Follow-up scheduled with James Harrington for Thursday at 2pm. Calendar invite sent to james@acmecorp.com .

Mask / redact

Replaces personally identifiable information (PII) with a typed label — the fastest and most conservative transform

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Mask / redact

Sent to AI model

Schedule a follow-up with [PERSON] at [EMAIL] about the contract renewal for [CURRENCY] .

Returned to you with PII relinked

Follow-up scheduled with [PERSON] for Thursday at 2pm. Calendar invite sent to [EMAIL] .

Detect only

Only surface what Replaces personally identifiable information (PII) exists, without modifying any text

Input (raw)

Schedule a follow-up with James Harrington at james@acmecorp.com about the contract renewal for $240,000 .

Guardian Layer — Detect only

Sent to AI model

Schedule a follow-up with James Harrington PERSON at james@acmecorp.com EMAIL about the contract renewal for $240,000 CURRENCY .

Detection report

Person

James Harrington

99%

Email

james@acmecorp.com

100%

Currency

$240,000

97%

Org

acmecorp

88%

Pricing

Simple, transparent pricing

Start today for free. Scale when you're ready.

Basic

Free

Sandbox, try it out free

Get started for free

100k tokens

1k requests

GPT-4o

Email and community support

Starter

$19

/ month

For users who want more limits, priority access, and VIP support

Get API Key

Recommended

1m tokens

10k requests

All models + newest first

Priority 24/7 support

Direct roadmap input

Monthly 1:1 product call

Free compliance assessment

Custom

Let's talk

Everything tailored to your stack and compliance needs

Contact us

Custom token limit

Custom request limit

On-premise or private cloud

Offline deployments

Custom compliance & data contracts

Dedicated support & SLA

Get started

From idea to deployed. In under 10 minutes.

Get an API key, install the SDK, and have a privacy-safe AI agent running in production — no infrastructure required.

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