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damiraai
Coming Soon

We manage the agent.
You use the API.

A dedicated Damira instance — managed by us, connected to your AWS Bedrock or Azure OpenAI. Prompts continuously tuned to your environment. Frontier models, not cost-optimized ones.

You don't deploy anything. You don't manage containers. You get an API key, point your tools at it, and go.

Architecture

Your Engineers
Teams / Webex / API
Managed by Damira
Agent API
PII Redaction
RAG Pipeline
Prompt Tuning
TSRSBLOPRP

AWS Bedrock

Latest frontier models

Your account

Azure OpenAI

Latest frontier models

Your account

Setup

From signup to production in days

1

Connect your cloud

Give us access to your AWS Bedrock or Azure OpenAI account. Or we provision a dedicated one for you.

2

We deploy your instance

Damira spins up a dedicated agent API, PII redaction layer, RAG pipeline, and observability stack — all managed by us.

3

We tune it to your environment

Your vendor mix, naming conventions, change control process, and documentation are baked into the prompts. Not generic — yours.

4

Your team gets an API key

Point your Teams bot, Webex integration, or scripts at your dedicated endpoint. Start using it.

The difference

Tuned to your environment

Generic AI gives generic answers. Platform prompts are continuously maintained and tuned to how your team actually works — your vendors, your conventions, your processes.

Vendor awareness

If you're a Cisco + Palo Alto shop, every troubleshooting response, config template, and MOP is weighted to your stack. Not generic multi-vendor noise.

Your naming conventions

The agent learns that your core switches are CORE-XX-BLDG and your firewalls follow FW-SITE-DMZ. Generated configs and docs match your standards.

Your change process

MOPs and change controls follow your CAB template, your approval chain, your rollback format — not a generic document the engineer rewrites anyway.

Your documentation

Ingest your runbooks, SOPs, and tribal knowledge. The agent answers from your docs first, general knowledge second.

Models

Frontier models. No margin constraint.

On SaaS, we pick models that protect our margins. On Platform, you pay your cloud provider directly — so you run the best models available.

Free (SaaS)

Good enough for individual queries

Cost-optimized

Starter / Pro (SaaS)

PII redaction, all agents

Mid-tier, US-based

Platform

Best available — you pay your cloud, not us

Latest frontier models

Comparison

Platform vs. Enterprise Self-Hosted

Platform is a managed service. Enterprise is a self-hosted deployment. Different needs, different offerings.

Platform
Enterprise
Who manages it
Damira manages everything
Your team deploys and manages
Infrastructure
Damira-hosted, connected to your cloud models
Your VPC / on-prem / air-gapped
Prompt tuning
Continuously tuned to your environment
You customize prompts yourself
Updates
Automatic — new agents, tools, improvements
You control the update cycle
Setup time
Days
Weeks
Best for
Teams that want a service, not a project
Orgs with strict air-gap or sovereignty requirements

Included

Everything, managed

All six agents, code-enforced diagnostics, PII redaction, and RAG — running on frontier models, tuned to your environment, managed by us.

Your Own API

A dedicated Damira endpoint. Your domain, your auth, your rate limits. Not shared infrastructure.

Frontier Models

The latest frontier models from Anthropic, OpenAI, and Meta — whatever Bedrock or Azure OpenAI offers. You pay your cloud provider, so there's no margin constraint.

Continuous Tuning

Prompts are maintained and tuned to your environment. New agent capabilities ship automatically. You don't manage prompts — we do.

Zero Data Retention

Inference happens in your cloud account. Damira processes and forgets. Logs stay in your CloudWatch or Azure Monitor.

Your Docs as RAG

Your runbooks, MOPs, vendor docs, and tribal knowledge in a dedicated vector store. The AI answers from your documentation first.

Full Observability

Agent performance, query latency, model costs, and token usage — all visible in dashboards your NOC already understands.

Your cloud, your models

Why Bedrock and Azure OpenAI

Not just model APIs — enterprise infrastructure with compliance, billing, and access controls your security team already approved.

Data stays in your cloud

No third-party model provider sees your network configs. Inference happens in your Bedrock/Azure OpenAI account.

Use existing cloud spend

Apply committed AWS/Azure spend. Not a new vendor contract — compute your finance team already budgeted.

Swap models overnight

Switch between any model your cloud provider offers without touching Damira. Model choice is a config change.

Inherit your compliance

SOC 2, HIPAA, FedRAMP, IL4/5 — whatever your cloud account already has, Damira inherits.

Delivery

Where your engineers use it

Microsoft Teams

Your NOC queries Damira from the app they already live in. No new tools to learn.

Webex

Same experience in Webex. Troubleshoot, generate configs, pull research — from the chat window.

REST API

Integrate Damira into your existing tools, ticketing, runbooks, and automations.

Operations preview

Your NOC command center

Service Health
damira-agent
99.97%
grafana
99.99%
prometheus
99.98%
redis
100%
postgres
99.99%
searxng
99.95%
cloudflared
99.99%
langfuse-web
DOWN
Infrastructure
34%
CPU
61%
RAM
28%
Disk
Agent Activity
TR

Diagnosed BGP peer reset on edge-rtr-01

2m ago

RE

CVE-2026-3891 impact analysis complete

5m ago

BU

Generated PAN-OS security policy for zone migration

8m ago

OP

MOP created: ISE certificate renewal procedure

12m ago

RE

Weekly NOC status report generated

18m ago

TR

OSPF adjacency flap resolved on dist-sw-03

23m ago

CO

Routed upgrade query to researcher + operations

31m ago

BU

Config audit: 3 findings on core-fw-01

45m ago

Network Throughput
00:0006:0012:0018:0023:0095 Mbps
Query Volume (7d)
142Mon189Tue234Wed178Thu267Fri89Sat56Sun
Top Domains
Routing (BGP/OSPF)34%
Voice & UC22%
Firewall18%
Wireless12%
Switching9%
Cloud / Azure5%

Let's scope your deployment

Tell us your team size, cloud provider, and vendor environment. We'll have a deployment plan back to you within 48 hours.