PL. II
Athena
Agent family 01
Research & knowledge
Reads everything so your team doesn't have to. Market scans, due diligence, and search across your own documents — every answer with its sources.
Infectech — Agent foundry · MMXXVI
We make agents. All kinds of agents.
We design, build and run AI agents that read, reason and act inside your business — from a single research assistant to a fleet that never sleeps, never forgets, and never replies-all.
agents.live
5 running
Sample run · illustrative
PL. I
The Engineer
Six hands · one mind
- Research agents
- Support agents
- Sales agents
- Coding agents
- Voice agents
- Ops agents
- Data agents
- Browser agents
- Finance agents
- Recruiting agents
- Legal review agents
- Personal agents
01 — The pantheon
Every kind of work
has its patron.
We build agents for the work you'd rather not do twice. Four families we ship most often — and room on the cloud for whatever you need next.
PL. II
Athena
PL. III
Hephaestus
Agent family 02
Builders
Forges code, documents and reports. Pull requests, migrations, proposals and drafts — reviewed, tested, and handed back ready to ship.
PL. IV
Atlas
Agent family 03
Operations
Carries the weight that never stops. Tickets, invoices, inventory and monitoring, around the clock — escalating to a human the moment it should.
PL. V
Daedalus
Agent family 04
Workflows & orchestration
Designs the labyrinth, then walks it. Multi-step work across your tools and teams, with several agents in concert and approvals where they matter.
Also forged here
- Voice & phone
- Sales & SDR
- Browser automation
- Data analysts
- Finance & accounting
- Recruiting
- Legal review
- Personal assistants
- Yours
02 — Anatomy of an agent
Six arms.
One mind.
Every agent we ship is built from the same six capabilities, tuned to the job. Hover one to find its ring.
-
I
Perceive
Reads email, documents, screens, calls and databases — any input your team already touches.
-
II
Reason
Plans multi-step work with frontier models, picked per task by evals, not by habit.
-
III
Remember
Keeps long-term memory of your customers, policies and past decisions. No re-explaining.
-
IV
Use tools
Calls your APIs, CRM, ERP, browser and spreadsheets — with permissions scoped to the job.
-
V
Act
Sends, books, files and ships. Sensitive steps wait for a human to say yes.
-
VI
Report
Logs and explains every action. Digests, dashboards and a full audit trail.
03 — At work
Fast hands.
Every call on record.
Real runs, replayed at speed: every step, every tool it touched and how long each call took. Start to finish, nobody had to step in.
P
Working
Reconcile March invoices
Scopes for this run
Call map
0 calls · 0 tools
Tool calls live
Waiting for the first call
04 — The method
From sketch to sky
in four plates.
No year-long transformation programme. A small team, your real data, and something working early enough to argue with.
-
I
Survey
We sit with your team, map the work, and find where an agent pays for itself first.
Days -
II
Draft
A working prototype on your real data and tools — rough, honest, and quick to change.
Days to weeks -
III
Forge
Evals, guardrails, permissions, integrations and observability. The unglamorous part, done properly.
Weeks -
IV
Launch & tend
We deploy, watch and improve it every week. Deployments are boring, on purpose.
Ongoing
Model-agnostic
Claude, GPT, Gemini or open weights — whatever wins your evals.
Human in the loop
Approvals wherever a mistake would cost more than a minute.
Evaluated, not vibed
Every agent ships with tests that say when it's good enough.
Measured in outcomes
We report hours saved and errors caught, not tokens burned.
Ship working agents,
not experiments.
Start from our blueprints for research, support, operations and workflows. We fit them to your data, your tools and your approval rules.
Built by the team behind
- AIHR
- AmarBiz
- Barighor
- Grameen Pest Control
- Sonic
- PrimeOMS
- Rookiesdnmco
- Memoriqo
05 — Frequently asked
Questions,
answered plainly.
What kinds of agents can you build?
If a person does it on a computer using judgment and rules, we can probably build an agent for it — research, support, sales, operations, finance, code, voice. If it shouldn't be automated, we'll tell you that too.
Which AI models do you use?
Whichever wins the evals for your task: Claude, GPT, Gemini, or open-weight models you host yourself. We're not married to any lab, and we can switch when a better one ships.
Where does it run, and is our data safe?
In your cloud, in ours, or on-premise. Agents get least-privilege access, every action is logged, and anything sensitive waits for a human to approve it.
How long until we have something working?
A working prototype usually lands in days and a production agent in weeks. You get a real estimate after the survey, not before.
What happens after launch?
We monitor it, tune prompts and tools, and ship improvements on a steady cadence. You get a digest of what your agents did and what we changed.
Contact
Let's build your
next agent.
Tell us the work you'd hand to a tireless colleague. An engineer replies with what an agent could do about it.
- Response
- Within one business day
- Studio
- Dhaka, Bangladesh