We build the tools
that build the
future.
1984 Labs partners with teams from discovery and architecture to implementation and deployment—clear decisions, solid execution, production-ready outcomes. If it helps, let's hop on a call and map what fits your case.
Software for problems that matter.
Consulting, custom development, modernization, and applied AI/automation—built to be operated reliably in production.
Product engineering & MVPs
From architecture to deployment. We design and build production-ready software: robust, scalable, and maintainable—ideal for MVPs meant to grow.
Technical strategy
Practical guidance on stack choices, roadmaps, trade-offs, and quality standards. Less uncertainty, more clarity to move forward.
Systems modernization
If legacy slows you down, we modernize it incrementally and safely. Reduce risk, untangle complexity, and improve performance without breaking what works.
Applied AI & automation
Workflows, integrations, agents, and internal copilots. We measure impact, respect data, and make it operable in production.
Industries and problems we know well.
We focus on areas where we can bring real leverage—and we're transparent about fit.
Logistics & warehouse operations
We help teams digitize and automate inventory workflows, audit tools, and mobile-friendly scanning apps. We integrate with WMS platforms and build the internal tools ops teams actually use.
Systems integration
We help teams connect disparate systems: REST and event-driven APIs, data pipelines, and third-party integrations that need to be reliable, observable, and maintainable.
Legacy backend modernization
We help engineering teams escape systems that slow delivery. Incremental migration, risk reduction, and measurable improvements in reliability and deployment speed.
Automation & applied AI
We help teams automate high-volume, repetitive processes where the outcome is measurable—document processing, routing, classification, and internal copilots built to run in production.
Applied AI, no hype.
We use AI when it improves outcomes: fewer repetitive tasks, better answers, faster decisions—with evaluation, privacy, and control built in.
Internal agents & copilots
Assistants for support, operations, or internal teams—faster, more consistent responses integrated with your tools.
Process automation
Workflows, integrations, and scripts that remove manual work—with observability and error handling.
Extraction, classification & search
Docs, emails, and knowledge bases: structured extraction, tagging, and semantic search.
When needed, we use human-in-the-loop and quality metrics to keep systems reliable.
Simple, direct, iterative.
Discovery
We listen before we propose. We understand the problem, constraints, and what success actually looks like.
Architecture & scope
We define what to build, how, and in what order—documented and agreed before writing any code.
Build & iterate
Short delivery cycles. Each increment is built to production-grade standards. You see progress early and can redirect.
Handoff
Documented, explained, and yours to operate. We brief your team and stay available during the transition.
Common questions.
What kind of work do you take on?
Custom software, MVPs, technical strategy, legacy modernization, and applied AI/automation—focused on work with a clear problem and a measurable outcome.
How do engagements typically start?
Usually with a call. We listen, ask questions, and tell you quickly if there's a fit. If we move forward, we start with a scoped discovery phase before writing any code.
Do you work with early-stage teams and established ones?
Both. Some clients need a first product built right; others have existing systems to scale, modernize, or extend.
Can you work with our existing stack?
Generally yes. We adapt to your constraints or help you evaluate options—we won't push a stack change unless it's genuinely warranted.
What if we don't have a clear spec yet?
That's a fine starting point. Discovery is designed for exactly that: understanding the problem before committing to a solution.
How do you ensure continuity and scale when needed?
1984 Labs is a founder-led studio. Depending on scope, we scale with a trusted network of senior specialists. Every engagement includes direct senior oversight.
What about continuity if you're founder-led?
Continuity is designed in from the start: repos and credentials are client-owned when required, decisions are documented as ADRs, deployments are reproducible via CI/CD, and observability is set up as agreed. For critical coverage, we can arrange a backup engineer under NDA. The system is structured so knowledge isn't siloed in a single person.
Clear code. Simple decisions. Consistent delivery.
We built 1984 Labs to work the way we value most: focus, accountability, and direct communication. We've seen strong teams get stuck in urgency, tech debt, and rushed decisions.
We go deep on the problem, define a realistic plan, and deliver iteratively. We prioritize what moves the needle today without compromising the product's future.
You'll work directly with the people designing and building. Clear communication, strong ownership, and a focus on quality. If you need references or more context (including NDA work), we can discuss it in a call.
Want to talk it through?
Tell us what you're building and what stage you're in. We'll quickly tell you if we can help—and how.