AI productivity platform
Montlify
One workspace holding 33+ AI tools for writing, research and chat, with the accounts, subscriptions and infrastructure needed to keep them all running.
- React
- LLM APIs
- Streaming
- Authentication
Engagement · Dedicated teams
A pod that owns the surface, and a lead who owns the delivery.
Three to five senior engineers with a technical lead, running as one team against your roadmap. You set the priorities; they take the delivery risk off your engineering manager's desk.
Three shapes
Pods are composed around a surface, not a headcount.
Tell us what you want owned. The mix follows from that, and it can change once we are in the work.
Product pod
2 backend · 1 full-stack · 1 platform · lead
A customer-facing surface — onboarding, billing, a new module — from schema to interface.
from $15,500 / month
AI pod
2 AI/ML · 1 backend · lead · PhD review
An intelligent feature and everything under it: retrieval, evaluation, serving and cost.
from $18,500 / month
Data & platform pod
2 data · 1 cloud/DevOps · lead
The warehouse, the pipelines and the infrastructure they run on, plus the cost line.
from $16,500 / month
Quarterly term, 60 days' notice, two-week paid trial at the start like every other engagement. Full pricing sits on the services page.
Accountability
Someone senior is answerable for delivery, and it isn't you.
This is the whole difference between a pod and a group of contractors.
- A technical lead inside the pod who runs breakdown, sequencing and review
- Delivery managed by Muhammad Tahseen, with 20 years of distributed delivery behind it
- A written status every Friday by 09:00 ET, and a live demo every week
- A burn-up your board can read without a translator
- Risks raised while they are still cheap, in writing, before you ask
- PhD-led modelling review on every pod that touches machine learning
Muhammad Tahseen
Technical & Project Manager
20+ years
Runs delivery. Twenty years of shipping software across enterprise and product teams, most of it with distributed engineers on two continents.
Bushra M.
Machine Learning Engineer
10+ years
PhD in Mathematics & Machine Learning. Reviews the modelling approach on every AI engagement before a line of production code is written.
Cadence
What a week with a pod looks like.
Predictable enough to plan around, light enough that nobody spends their week in meetings about the week.
Every day
Standup in your overlap window
Fifteen minutes, in your channel, with your team. Not a separate offshore standup that gets summarised to you later.
Every Tuesday
Refinement with your product lead
The pod pushes back on scope before committing to it, which is the point of having a lead.
Every Friday
Demo and written status
Working software, then a document. Both land before your Friday morning.
Every month
Independent quality review
A senior lead from outside the pod reviews the code and reports to you directly, including what they did not like.
9 months
Median length of a pod engagement
3 weeks
Minimum handover at the end of any pod
Friday 09:00 ET
Written status, every week, without being asked
60 days
Notice. Quarterly term, not annual
Built by this team
Two of the products these people have shipped.
AI compliance platform
Sovereign
A self-hosted platform that audits contracts against GDPR, HIPAA and SOC 2 and returns cited, severity-ranked risk reports — with inference running on the customer's own GPUs, so no document leaves their network.
- React
- RAG / vector retrieval
- LLM orchestration
- Self-hosted inference
Questions about running a pod.
How is a pod different from four augmented engineers?
A pod has a technical lead who is accountable for delivery, and a delivery process run by Muhammad Tahseen on our side. With augmentation, that accountability sits with your engineering manager. Four individuals cost less; a pod costs less of your team's attention.
Do we still control what gets built?
Entirely. You own the roadmap and the priorities. The pod owns how the work is broken down, sequenced and delivered against it, and reports back weekly in writing.
What does the weekly status actually contain?
What shipped, what slipped and why, what is at risk, the decisions we need from you, and a burn-up chart. It is written to be forwarded to a board without editing. You get it every Friday by 09:00 ET.
Can the pod grow or shrink?
Yes, with 30 days' notice in either direction inside the quarterly term. Growing typically takes 3–4 weeks to fill from the bench without lowering the bar.
Who is on call for what the pod builds?
Within the pod's working window, the pod. Overnight US coverage needs either your own rotation or a second shift, which we can staff and will price honestly rather than pretend a single team can cover 24 hours.
What happens at the end?
A handover period of at least three weeks, runbooks, architecture decision records and a walkthrough with whoever takes it on. No knowledge is held hostage — it is in your repository already.
Describe the surface you want owned.
Thirty minutes to scope it, a written proposal with a named lead and a composed team within a week.