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TechAegisAI

Ship agents that work.

Agents that actually run in production. Ops, sales, support, code review. Cheaper than the meeting about whether to build them.

Watch a live agent run

Drops into the stack you already run

Postgres
Stripe
Gmail
Slack
Notion
GitHub
HubSpot
Shopify
Zendesk
OpenAI
Anthropic
Datadog
AWS
Postgres
Stripe
Gmail
Slack
Notion
GitHub
HubSpot
Shopify
Zendesk
OpenAI
Anthropic
Datadog
AWS
— What we do

Building agents for teams that measure what they ship.

How it works

The Aegis Loop

Most agent projects stall in pilot purgatory: endless demos, nothing that ships. The Aegis Loop is how we get past that. Three steps, and your team owns what we build.

01

Audit

Two weeks mapping your workflows. We cost each one and rank them by what you'd actually save. You get a backlog ordered by money, not hype.

02

Ship

The top workflow goes live in four weeks. Real code in your stack, behind a feature flag, with a kill switch and a dashboard from day one.

03

Hand off

Your team gets the playbook, the evals, and the runbook. The next workflow ships without us on the call.

Our Approach

Pick one workflow that's costing you. We build the agent. Your team owns it. Done in weeks.

Watch a live run →
Live · Streaming now

An agent doing real work, while you watch.

p95 2.1s·cost/run $0.011·0.96 faith.
agent · run · order_exceptions · prod-us-east-1
streaming
Pipeline
6 steps · 1 customer ticket
  1. Read context
    db.query
  2. Process refund
    stripe.refund
  3. Draft customer email
    gmail.draft
  4. Log resolution
    notion.append
  5. Score the trace
    eval.score
  6. Notify ops
    slack.send
Tool calls 0000
Runs closed 00
Stream
Real trace from a client's order-exception queue, names scrubbed. Refreshes every 5s.
Run this on your workflow →

Strategy x Execution

01 — Map the workflow

Before any code, we score the candidate workflow on three axes: dollar value, how tractable it is, and how badly it can fail. The eval rubric gets written before the first prompt.

02 — Ship the loop

One agent in production behind a feature flag. Real traffic, kill switch wired up. Faithfulness, latency, cost, escalation rate — all on a dashboard your CFO will actually open. Boring on purpose.

What we ship

Strategy

Find the money

We map and cost your workflows, then name the one that pays back fastest. Strategy, plus the dashboards to prove it.

Build

Ship the agent

Agents that take real actions in your tools: refunds, triage, research, code review. Killable and instrumented from day one.

Own

Make it yours

Custom models when you need them, plus the workshops, evals, and runbooks that leave your team owning the system.

Shipped work

All case studies →

SaaS

Pipeline up 30% without a new hire

+30%

qualified pipeline

−40%

rep ramp time

Retail / e-commerce

15 hours reclaimed per operator, every week

15

hrs/week saved

−18%

cost-to-serve

0hrs/wk

saved per operator

0%

lift in qualified leads

0%

revenue growth

0%

faster turnaround

0%

lower cost-to-serve

Representative outcomes from recent engagements

In their words

The payback window was ten days. We had four ops hires on the hiring plan and cut it to one.
Director of Operations
Mid-market retailer
They shipped something working in week one. Not a slide deck, not a demo — something we use every day.
Head of Growth
B2B SaaS, Series B
Our reps now close deals with context they never had. Pipeline is up 30% without a single new hire.
VP Sales
Industrial services
Booking 4 slots this week · 2 left

One workflow.
A 60-min call.
An agent your team owns.

Bring the workflow that's hurting most. By the end of the hour you'll have a build-or-buy decision, a target cost-per-run, and a date on the calendar.

60 minutes. No sales deck.
Build/buy call and target cost-per-run, in writing
Eval rubric drafted live on your messiest workflow
NDA back in under 24 hours
Read the playbook
SOC 2 Type IIISO 27001GDPRHIPAA-eligibleFrom $40K