Why we exist · Our Company
Engineers first. AI second. Results always.
We build software that takes over the paperwork around clients: reading documents, writing up meetings, and drafting outreach, with accuracy we measure and a person always in control.
Why we exist
LogiqCube was founded with a singular conviction: while AI models have made rapid leaps, most businesses remain buried in manual paperwork because generic AI tools hallucinate, break on messy files, and offer no human safeguards.
In finance and professional services, errors carry real regulatory and client-relationship costs. You cannot afford an AI that guesses numbers. That is why we approached the problem as software engineers first. We built strict evaluation test harnesses, arithmetic checksums, and human review interfaces around language models.
Our core engineering values
Accuracy is measured, not assumed
We never ship an AI system without an automated evaluation test harness. If accuracy cannot be verified on messy production files, it is not ready for client use.
A person is always in control
We do not build autonomous black boxes that make unaccountable decisions. Every automated pipeline flags uncertainty and routes edge cases to human approval.
Client data is inviolable
Your client records, custody statements, and confidential conversations never train third-party models. Enterprise isolation and encryption are built in by default.
Engineers first. AI second.
AI is software with a statistical part. We ground every feature in sound software engineering, clear API boundaries, and reliable databases.
Why we build and run our own products
Many agencies give theoretical advice on AI without ever running a live SaaS product in production. At LogiqCube, we operate our own commercial applications:
- LogiqWealth: Document intelligence for wealth managers.
- LogiqMoM: Meeting intelligence and action item extraction.
- LogiqLead: Fact-grounded outbound research.
Operating these products forces us to confront production latency, model drift, cost optimization, and user interface friction daily. The solutions we engineer for our products flow directly into our client systems.
Engineers, architects & builders
Our team unites experienced backend systems engineers, machine learning practitioners, and product designers focused on production reliability.
[Founder / Engineering Lead]
[Role / Focus Area]
[Brief bio detailing systems engineering and AI architecture background.]
[AI / ML Architect]
[Role / Focus Area]
[Brief bio detailing document intelligence, evaluation harnesses, and RAG pipelines.]
[Full-Stack Engineer]
[Role / Focus Area]
[Brief bio detailing SaaS product delivery, multi-tenant databases, and UI/UX.]
Interested in joining our engineering team?
We are hiring curious engineers who value craftsmanship and accuracy.
Have a conversation with our engineering team
Tell us about the paperwork bottleneck slowing down your practice.