Problem-first Deeptech
We bridge the translational gap between business problems and deeptech
We take your business and research challenges and solve it hands-on — working alongside your team, end to end.
Underneath, we run on Groclake, our proprietary engine for problem orchestration and production delivery.
The problems we're built for
You don’t need to know if your problem is solvable by “quantum” or “AI.”
We find the best solver for your business or research challenge.
Optimization
Too many combinations for brute force to finish in time. Routing, allocation, portfolio construction, production mix, experiment design.
Is this your problem? Let's find out →Risk & simulation
Outcomes that depend on correlated, uncertain variables you can't fully model with a spreadsheet — financial exposure or physical/chemical systems alike.
Is this your problem? Let's find out →Scheduling & constraints
Conflicting requirements across time, people, or capacity that classical solvers choke on past a certain scale.
Is this your problem? Let's find out →Search across large spaces
Finding the right answer inside a space too large to check exhaustively — configurations, matches, or candidate structures.
Is this your problem? Let's find out →Discovery & simulation (research)
Open scientific questions where the search space is a molecule, a material, or a system too complex to simulate classically — the kind of problem that starts as "we don't know yet," not "we need this optimized."
Is this your problem? Let's find out →
The pathway
From problem to working answer
- 01
Engage and Evaluate
We start with your problem, described in your language, not ours — whether that's an operational bottleneck or an open research question. No quantum background required on your side. Deliverable: a written problem diagnosis and a call on whether this is worth pursuing at all — sometimes the honest answer is "not yet," and we'll say so.
- 02
Formulate and Model together
This is the part almost nobody else does well. We pair our translation specialists with your domain experts — the people who actually understand the portfolio, the network, the schedule — and co-design a precise, solvable formulation of the problem. This is the actual bottleneck in the industry right now, and it's where we spend most of our effort.
- 03
Execute and Refine
We run the formulation on the best solver available today — usually classical or hybrid, because that's what's actually ready — and wire it into your operations. If and when quantum hardware clears the bar for your specific problem, it swaps in underneath without you re-building anything. This is what Groclake, our engine, handles quietly in the background.
The people behind the work
The qualified talent that bridges the gap
Every engagement is staffed from QPool, our global network of quantum researchers, mathematicians, and physicists — plus our own AI and delivery engineers. They're people who can deeply understand an industry's structural challenges, like portfolio risk or credit scoring, and translate them into solvable formulations.
That formulation work runs on Groclake, so every project builds on real infrastructure from day one, not a blank page. A sample of what QPool has worked on recently:
- Portfolio and risk optimization for financial services
- Supply chain routing and scheduling at enterprise scale
- New material and molecule simulation for R&D teams
- Credit and underwriting model formulation
- Hybrid classical-quantum optimization for logistics and production
- Quantum-ready formulation for early-stage research programs
Insights
Translation notes & field notes
- QuantumOpsJun 2026
Quantum Agentic Loops for Long-Horizon Incidents
Classical agents re-encode the entire context at every step. Quantum agentic loops use deferred measurement to carry operational context forward across a full incident — a design we're building in Groclake.
Read on LinkedIn → - AIOpsJun 28, 2026
Enterprise Patch Management using Agentic AIOps
Enterprises still lose weeks between finding a critical vulnerability and shipping a safe, approved fix — because no single tool owns the decision chain. How agentic AIOps closes that gap.
Read on LinkedIn → - PlaygroundMay 2026
Groclake Playground is Now Live
You can't train an agent to reduce alert noise without a real environment to generate it. Playground lets you build ephemeral test apps, inject bugs, run stress scenarios, and extract real signals.
Read on LinkedIn → - VisionJun 6, 2026
The Collapse of the Digital Stack — And What Comes After
Quantum → Analog → Digital → Software → Human. Each layer extracted a fidelity tax for the privilege. A look at the moment we can finally stop paying it.
Read on LinkedIn → - Groclake CLI2026
From GUI to CLI to Agent-Native: The Real Shift in AI-Driven IT Ops
We built Groclake CLI and our Claws framework so AI agents work the way engineers do — explicit commands, predictable output, real-world chaining, and a glass-box view of every action.
Read on LinkedIn → - ContextMar 3, 2026
Advanced Context Image Framework for Enterprises
Context as an Image — versioned, layered, composable, and distributable, analogous to container images. A layered, deliverable architecture for AI-driven enterprise systems.
Read on LinkedIn →
Have a challenge but aren’t sure how deeptech can solve it?
Bring it to a diagnostic session. We'll tell you honestly whether it's solvable today, and how.
Contact Usor email us directly at manoj@plotch.ai
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