An AI product development company that ships its own software
DelQuad builds AI-powered products end to end — and runs two of its own, JDResume.ai and JDIntera. That means the advice we give clients is advice we have had to live with. Three practices — AI and product engineering, cloud architecture, technical talent — frequently bought together because they tend to fail together.
AI & Product Studio
Design and build SaaS products and internal tools, with AI where it earns its place rather than where it demos well.
- •Product discovery through to production hardening, not just an MVP that stalls
- •Integrations with OpenAI and third-party APIs, Stripe, Firebase
- •Beta launches with the instrumentation needed to learn from them
- •The same engineering that built JDResume.ai and JDIntera
Cloud & Engineering Consulting
Architecture that survives growth, and the pipelines and observability to operate it without heroics.
- •Architecture reviews and modernization plans with a sequenced path, not a wish list
- •DevOps, CI/CD, logging and observability setup
- •Performance tuning and cloud cost optimization
- •AWS, Azure and GCP, chosen on fit rather than habit
Talent & Recruiting Support
Technical hiring support from people who do the engineering, so screening reflects the work rather than a keyword list.
- •Technical screening and structured interview support
- •Role-based JD → resume matching with JDResume.ai
- •Candidate-ready resume and packet standardization
- •Interview readiness for benched or client-facing candidates
What AI product development means here
"AI product" covers a lot of ground, most of it demo-shaped. The work that ends up mattering is narrower: picking the places where a model genuinely beats deterministic code, then building everything around it to production standards. These are the pieces we are usually asked for.
Generative AI features in existing products
Adding LLM-backed capability to software that already has users — drafting, summarising, classification, extraction — without destabilising what already works.
AI agents and workflow automation
Multi-step automations that call tools, make decisions and hand off to a human at the right moment, with the guardrails and audit trail that makes them safe to run unattended.
AI SaaS MVPs, built to survive
A first version that can take real traffic: auth, billing, rate limits and evaluation from the start, rather than a prototype that has to be rewritten the moment it works.
Retrieval over your own data
RAG pipelines, embeddings and vector search wired to your documents and systems, so answers are grounded in what your organisation actually knows.
Model cost and latency engineering
Model selection, caching, prompt compression and routing between tiers — the difference between a feature that is viable at scale and one that quietly bankrupts its own margin.
Evaluation and reliability
Test sets, regression checks and monitoring for AI output, because "it seemed fine when I tried it" is not a release process.
Proof rather than a pitch
JDResume.ai and JDIntera are our own SaaS products, built by the same team that takes on client work. Between them they cover resume parsing and scoring, LLM-driven rewriting, generated interview question sets, and answer evaluation — which is to say we have already solved prompt reliability, model cost control, latency and evaluation on products we have to support ourselves.
How engagements are structured
Practical and outcome-focused, with the shape matched to the problem rather than to a preferred contract.
Scoped project
A defined outcome with a fixed shape: a product built, a platform migrated, an architecture reviewed and replanned.
Embedded support
We work alongside your team for a period, contributing engineering and judgement rather than a document handed over at the end.
Ongoing partnership
For teams shipping continuously: a standing relationship where we already know the system and can move without a ramp-up.
Tell us what you are trying to ship
A short conversation is usually enough to work out whether we are the right people for it.