Case Study 01
Private CRE Lender
Pinch point
Underwriting bottlenecked at intake — brokers waiting days for a first read.
Outcome
Lead-to-term-sheet cycle compressed from days to hours across six lifecycle stages.
Whitepaper · Konotree × Tekt
Own the Stack.
Ship the Fleet.
How commercial real estate, housing policy, financial services, and vertical operators are fielding production agent fleets on open-source infrastructure — in weeks, not quarters.
Powered by the open Tekt framework — tekt.md
Deployed with permission at
Private CRE Lender
6 lifecycle stages, lead → underwriting
Vertically Integrated RE Operator
Leasing, ops, and asset management agents
National Housing Policy Association
Research, briefings, and member intelligence
Financial AI Startup
Agent fleet for market signal and drafting
The claim
“A mid-sized organization can field a production agent fleet — integrated, governed, and extended by its own people — on open-source infrastructure, in weeks rather than quarters.”
The method
Seven principles behind every fleet we ship.
- 01
Own the model surface
Route across open weights and hosted APIs — never single-vendor.
- 02
Own the data plane
Workspaces sync to your storage. Agents read files in place.
- 03
Own the workflow layer
Author once in tekt; run on n8n, LibreChat, or Hermes.
- 04
Own the memory
Typed knowledge portable across every MCP-capable surface.
- 05
Extend with your people
Your team ships agents — not a vendor's roadmap.
- 06
Govern from day one
Observability, retries, and audit built into the fleet.
- 07
Graduate, don't lock in
Managed is a path to self-hosted, not a trap.
Case studies
Four fleets. Four verticals. One method.
Case Study 02
Vertically Integrated RE Operator
Pinch point
Leasing, ops, and asset-management teams working from stale spreadsheets.
Outcome
One agent fleet reading the same portfolio memory — decisions in minutes, not meetings.
Case Study 03
National Housing Policy Association
Pinch point
A small research team drowning in filings, briefings, and member questions.
Outcome
Research and briefing agents that turn a week of desk work into an afternoon.
Case Study 04
Financial AI Startup
Pinch point
Needed a production fleet before the next round — not a slide about one.
Outcome
Live signal and drafting agents running on their own infrastructure in weeks.
The constellation
Four products. One platform.
Each lives on its own domain, but they share the same knowledge base and sync foundation.
Formuli
formu.li
Formulate, convert, generate.
Formulate, convert, and generate Microsoft and LibreOffice documents, spreadsheets, and presentations — doc, xls, ppt, ods, and more.
formulateconvertgenerate
Explore
Vido
vido.li
Seek. Peek. X-ray. Extract.
Document intelligence for any type of file, image, or document — including the ones living on the web.
seekpeekxrayextract
Explore
Kono
kono.io
Portable AI knowledge & memory.
Portable AI knowledge and memory, powered by your documents — available to every agent you use.
shredtyperememberquery
Explore
Vorto
vorto.us
Human to agent to agent.
Human-to-agent and agent-to-agent command, control, and messaging — one place to direct the work.
commanddispatchmessageobserve
Explore
Open components we run, contribute to, and let you graduate onto
n8nLibreChatOpenClawHermesPicoClawLiteLLMComposioDoclingOpenRouter
Managed on Konotree, portable everywhere. Managed is a graduation path, not a trap.
Who this is for
One paper, four readers.
Investor
A repeatable template across verticals, open-source COGS, managed graduation revenue.
Builder
Bootstrap with tekt.md, ship in Intelcraft, get paid on the practitioner bench.
Operator
You are not a tech company. You do not need to become one to ship a fleet.
Software Partner
We are your last mile to production. Send us your users.
The ecosystem
Konotree
The product — managed open-source AI.
tekt.md
The open framework anyone can bootstrap.
Anant
The services arm that ships fleets with you.
Intelcraft
Training and community for AI leaders.
Practitioner network
The paid bench of builders.
Ready to ship the fleet?
Read the paper, then book a working session with an AI architect.