A software agency ships the dashboard. A PCB house ships Gerbers. Someone still aligns power budgets, radio choice, OTA updates, and the API the mobile app calls, usually under time pressure and across three Slack workspaces.
We started PAI Technologies in Delhi in 2024 because our early clients needed AI in the cloud and custom boards in the field, not one without the other. Today we run 30+ delivered projects at 4.9★ on Upwork, active EU work on Gordon for M-agi-c Solutions, and TerraSenti hardware for MythraCore Ltd: one relationship, one invoice rhythm, one handover package.
This is why we merged software and hardware practices instead of referring one side out.
The gap between demo board and production product
The demo board proves the sensor reads. Production requires enclosure fit, calibration in the field, secure provisioning, firmware update policy, and a backend that ingests data reliably when connectivity is intermittent.
When vendors are split, firmware blames cloud latency; cloud blames sampling rates; product management mediates. One studio collapses those loops into engineering trade-offs made once.
PlaywithDB and pure software engagements remain a large part of our work. We do not force hardware where dev kits suffice. We force alignment where custom design is already on the critical path.
What one studio changes in practice
When Gordon and TerraSenti run in parallel, software and hardware engineers share constraints early: pin counts, sampling rates, EU hosting requirements, and what the backend must ingest.
Firmware and API contracts are designed together, not thrown over a wall. BOM conversations and cloud cost conversations happen in the same standup when they affect the same milestone.
Clients get one commercial thread (Kajal and me), one technical lead accountable per engagement, and handover that includes repos, KiCad, Gerbers, and infra notes together.
- Single statement of work with clear software vs hardware milestones
- Shared staging environments for end-to-end demos
- One retrospective that covers field trials and cloud metrics
Case patterns we see repeatedly
EU AI products (Gordon-class): feature velocity plus GDPR-aware hosting and subprocessors documented alongside UX work, not a compliance phase after launch.
UK/EU sensor products (TerraSenti-class): custom KiCad through JLCPCB, firmware, and ingestion APIs with MythraCore-style field validation scripts.
India and US product teams: RAG, agents, full-stack, sometimes fractional architecture, hardware optional until unit economics demand custom boards.
Team structure in Delhi
Rekha founded the studio; Gyanender leads engineering on AI and hardware delivery; I manage business operations, Upwork contracts, and client communication across timezones.
We hire for senior execution, people who have shipped production AI and manufacturing-ready boards before, because three-to-four-week cycles do not tolerate long onboarding.
Culture is async-first for US and EU clients: written updates, Loom demos, and milestones you can accept without a midnight call.
When to use both practices vs software-only
Software-only fits when off-the-shelf hardware is enough: standard gateways, USB devices, or pure SaaS AI. We scope RAG, agents, PlaywithDB-style data tooling, and full-stack accordingly.
Dual practice fits when form factor, power, radio, or per-unit cost force custom PCB, or when firmware security and cloud auth must be designed as one system.
We say no to custom PCB when a module plus good firmware gets you to market faster, honesty in discovery saves everyone money.
What clients should put in a combined brief
Describe the field environment, target unit cost, cloud region, and mobile/web surfaces in one document. Attach enclosure constraints if they exist.
We will propose a phased roadmap: often software vertical slice first, hardware prototype in parallel or sequence depending on risk.
PAI exists so you do not coordinate three vendors to ship one product. If that matches your roadmap, start at Info@thepaitechnologies.com. We respond within one business day.