Chainfore is an advanced AI systems and applied research company based in Lahore, Pakistan. We design, build, test and operate bounded AI workflows for enterprises, with evaluation, security and human control built in from the first week of an engagement. Alongside delivery, we are establishing an applied research programme on reliable enterprise autonomy; we will publish the method and the limits of what we find.
The phrase "AI lab" is now used widely, and buyers have learned to discount it. "Advanced AI systems" describes the engineering we do today. "Applied research" describes the research direction without claiming results we do not yet have.
Systems must run inside the customer's identity, data and operating processes, not beside them.
Each performance statement comes with its method, baseline, limits and owner.
Systems act within explicit permissions. Consequential actions stay under human approval.
Being established
The applied research programme on how AI behaves inside real workflows.
Research is establishing the applied programme and will publish its methods.
A public evaluation method with its limits.
Funded from a fixed monthly budget, reviewed each month.
Research →In development
The assurance and reliability layer the delivery work uses: evaluation harnesses, permission checks, recovery patterns and release checks.
Systems builds and maintains the assurance toolkit every engagement uses.
A reusable release-assurance toolkit, used across engagements.
Built from delivery work, not sold as a standalone product.
Systems →Commercial delivery
The delivery business. Enterprises buy five offers from this unit, from a two-week workflow baseline to a dedicated engineering team.
Enterprise is the delivery business and carries the five offers.
Paid, measured engagements with written acceptance criteria.
Every engagement has a named technical lead and delivery lead.
Enterprise →Owned products and a gated pipeline
Chainfore's own products: consumer products already live, and an enterprise pipeline that opens only when a product passes its own acceptance tests.
Ventures holds Chainfore's own products: consumer products already live, and an enterprise pipeline gated until a product passes its own tests.
A product that has passed its own acceptance tests and is in use.
Live: Mehram. In development: Falconic, Wajib, Wisaal.
Ventures →Frontier-model training, published model research, certifications we do not hold, or client names we are not permitted to use. We will state each of these only when it becomes true and can be shown.
Enterprises ask three questions about any supplier: can the team solve this problem, can we trust the delivery, and can we control our data. Our answers are specific.
Each engagement names a technical lead, a delivery lead and an escalation owner.
We operate in your cloud, in a managed tenant, or on synthetic data with you running production.
Production access is granted only to named, approved accounts, with multi-factor authentication, time limits and session logging where appropriate.
Written weekly status, recorded demonstrations and a defined overlap window with your team.
Written scope, confidentiality, foreground and background IP, subcontractor terms, approved data flows, termination assistance and deletion on exit.
We document how work continues if a key engineer is unavailable, and test recovery before promising it.
Where a contract requires a local representative, we name one with escalation authority.
We do not claim a cost advantage. Each proposal states direct cost, margin and value measure, so you can test them.
Haseeb Javed is the founder and CEO of Chainfore, an advanced AI systems and applied research company in Lahore. He leads the company's direction, its research agenda, technical leadership, capital allocation and enterprise relationships. His current focus is turning advanced AI capability into systems that organisations can operate, measure and audit.
Leadership →