Daqeeq

Engineering for AI that can be measured

Daqeeq is a senior-only engineering company working from Lahore to US hours. It has been building software since 2012, and it says every engineer on delivery has at least fifteen years of experience, with no juniors on a project. The person a client meets is the person who writes the code.

LLM pipelines, agents and MCP servers

The company builds multi-step LLM pipelines and agents that act inside a client's product through a small, auditable set of permitted actions. It also builds MCP servers, with tools, prompts and permission tiers, so AI clients can work with a customer's data under controls the customer sets. Agents can run in suggest-only or full-autonomy modes and hand over to humans.

Search, fine-tuning and operations

Semantic search and retrieval are tuned to a domain's vocabulary. Where a general model is not accurate enough, the team trains domain classifiers and taggers and reports measured F1 scores. MLOps work covers labelling pipelines, versioned fine-tuning runs, GPU serving with autoscaling and live re-indexing, and evaluation gates in continuous integration.

Evidence over demos

Its message is that anyone can show a model working in a screenshot, and that the hard part is making it reliable and safe to change. Benchmark datasets are built from the client's own data, regression suites replay checks before each change, and scored, written accuracy audits are issued. For regulated buyers it offers explainable and auditable AI.

Web and mobile platforms

Earlier work was in Ruby on Rails. Past builds include a marketplace linking property investors with contractors, a meeting scheduler, a coupon code service, a white-label tool producing SEO reports, a shift planner, a mail tracking add-on, a grants management product and a members' platform for the Australian diamond trade.