For regulated engineering teams whose small tickets wait months
Governed AI software engineers for regulated codebases.
Anthara gives your engineers a team of AI agents. They turn backlog tickets into draft pull requests inside your infrastructure, with your standards enforced, so security can approve them on regulated code.
Book a demoAnthara Agents
Four agents running inside your VPC, each held to your standards
- 2 running
- 1 investigating
- 1 queued
- Running
Ticket to pull request
Working on Ticket HIPAA-156
- Running
Ticket to pull request
Working on PR #782
- Investigating
Security review
Working on security review for payments API
- Queued
Custom YAML agent
Working on dependency update
Every change lands as a draft pull request your engineers approve.
01 - The problem
Your agents don’t reliably follow your rules, so security says no.
Most teams guide their agents with a CLAUDE.md or AGENTS.md file. Those files:
- go stale because nobody owns them
- differ from one repository to the next
- are treated by agents as suggestions
- carry less weight as a session gets longer
- aren’t loaded before every task
So agents stay off regulated repositories, and the backlog stays with your engineers.
02 - How it works
Anthara holds every agent to one set of standards.
Your engineering standards and regulatory packs live in one place, and Anthara enforces them on every change an agent makes. The same standards load into your engineers’ Claude Code sessions, so people and agents work the same way.
The agents run on your own cluster. One takes a Jira ticket to a draft pull request, another investigates incidents, and your team can define more in YAML.
Your infrastructure · your VPC or on-prem
Anthara
Standards and regulatory packs
EngineeringHIPAAPCI-DSSSaMD
Enforced on every change
Same standards for people and agents
Your engineers
Agents on your cluster
Claude Code session
Engineer · claims team
Claude Code session
Engineer · payments team
Claude Code session
Engineer · platform team
Ticket to pull request
Takes a Jira ticket to a draft PR
Incident investigation
Investigates incidents
Custom YAML agent
Defined by your team in YAML
03 - Compared
How Anthara compares with an autonomous AI engineer.
| What’s compared | Autonomous AI engineer | |
|---|---|---|
| 01Where the platform runs | The vendor’s cloud. Only the sandbox can sit in your VPC | Your VPC or on-prem |
| 02How your standards are applied | As instructions the agent may follow | Enforced on every change |
| 03Works alongside your engineers | In its own workspace | On Claude, with the plugins your engineers use |
| 04HIPAA, PCI-DSS, and SaMD controls | Written by your team as instructions | Ready-made packs |
| 05Takes a ticket to a pull request | Yes | Yes, checked against your standards first |
| 06Runs several agents in parallel | Yes | Yes, each limited to the repos you allow |
