Connected intelligence for field operations.
All your field apps on one connected platform - deployed on your infrastructure, reviewed by your people.
Explore Applivity Reflex →Applivity builds. Senior, outcome-owning teams design, ship and integrate software the AI-native way - AI in the loop at every stage, qualified engineers accountable for every output, delivered on infrastructure your security team governs.
AI-native engineering is an operating model, not a plugin. AI agents are part of the team, so the bottleneck moves from typing code to reviewing, integrating and governing it. That is where our senior engineers spend their judgement - and where a small, well-run team now outpaces a large one.

A senior, cross-functional team that owns a product outcome end to end - architecture to production, one accountable owner, weekly demos.
Explore pods →Turn a use case into a running app in weeks. Prove value on real data before you commit to a full build.
See the fast-track →Line-of-business platforms, portals and workflow systems built to the standard our regulated work demands.
Wire AI and new apps into SAP, Oracle and the HSE, CMMS and BI systems you already run - the phase most projects underestimate.
Automated testing, CI/CD, observability and cloud or on-prem delivery - your tenant, your governance, your uptime.
Training and visualization on Meta Quest and assisted-reality devices, from our AR/VR lab.
Visit the lab →
Not slideware. These are the working parts we build into your systems, chosen for the job rather than the hype.
Three ways to work together - pick the operating model that gives you the fastest safe path to production. Whichever you choose, you own what we build: capability, not dependency.
A managed pod owns delivery inside your approved boundary. You get outcomes, weekly demos and one point of accountability, not a stack of timesheets.
Senior AI-native engineers join your team and lift its delivery - bringing our workflows, review gates and tooling with them.
We stand up a POC, MVP or platform, document it and hand you a system your own team can run and extend.
We map the workflow, the risk and the win before a line is written - so scope is honest and the business case is clear.
A precise specification steers both engineers and AI agents, cutting rework and keeping everyone aligned on the same target.
AI accelerates code, tests and docs while senior engineers direct the work and own the decisions.
Nothing progresses without human review - security, quality and correctness checked against clear thresholds.
We wire the system into your identity, data and systems of record - the phase that decides whether AI ever reaches production.
Weekly demos, monitoring and documentation, so your team can own and extend what we built.
Security, legal and data-privacy reviewers weigh governance as heavily as features. We build so those reviews are short.

The pod owns the outcome - scope, technical path, release and handover - not just seats on a call. You get one accountable team, weekly demos and measurable results, instead of managing individual contractors.
AI accelerates every stage - requirements, code, tests, documentation - so a small senior team delivers more, faster. The work shifts from typing to review and judgement, and qualified engineers own and check every output before it reaches you.
No. Industrial and field AI is our focus, but the same teams build enterprise platforms, portals, integrations and line-of-business systems. The discipline is the same wherever accuracy matters.
On infrastructure you approve - your cloud tenant, Applivity-managed cloud, or on-premises - governed by your identity, SSO and retention policies. We work NDA-first and design for data minimization.
You do. Work produced for you is yours, with clear ownership and documentation handed over so your team can keep moving.
A scoped POC or MVP can be running in weeks. Most engagements begin with a short discovery to map the workflow and the win before a line is written.

Tell us the workflow. We will map the win and the approach before a line is written.