We Built AI Different

The path nobody expected us to take

When we started building Dweve, everyone told us the playbook: use transformers, buy more GPUs, scale like crazy. That's what all the research said, that's where the funding went, that's what everyone was doing.

We looked at what businesses actually needed and realized the math didn't add up.

Companies wanted AI they could control. Governments needed systems they could audit. Hospitals required absolute guarantees about patient data never leaving their infrastructure. Financial institutions needed to explain every single decision to regulators without handwaving.

And everyone, absolutely everyone, was tired of surprise bills when their API usage spiked.

So we built something different

Not because we're contrarian. Not because we think everyone else is wrong. But because the problems we wanted to solve needed a different approach.

We built a hybrid intelligence system that combines binary-constraint learning with hierarchical expert architectures. Instead of one massive neural network trying to know everything, we have 456 specialized experts who each know their domain inside out. Think of it like a team of specialized doctors: a cardiologist for heart issues, a neurologist for brain scans, and a general practitioner to coordinate care. Each expert knows their domain deeply, and they work together through proven protocols. That's how Loom works—except with 456 experts covering everything from mathematics to marketing.

The system learns continuously. Not through expensive retraining cycles requiring ML engineering teams, but through deployment. Every interaction refines knowledge structures. Every query makes it smarter.

And here's the thing that actually matters: you can trace every decision back to its source. Every conclusion has a clear logical path. No black boxes, no "the model decided" handwaving, no crossing your fingers and hoping.

What this actually means for you

• For individuals: AI that respects your privacy by default. Your data never leaves your device unless you explicitly choose to share it. No surprise data breaches, no "we updated our terms" emails about what we're doing with your information. Free forever if you contribute spare compute, or €29/month premium.
• For SMBs and startups: Access Dweve through our Mesh API with token-based pricing—1 token equals 1 complete word, not subtokens. Predictable costs that scale with your actual usage. Qualify for our startup program and get up to 90% discount. You can also deploy on-premise for complete control. Compare that to cloud API costs where a moderate-scale application easily hits €50K-150K/year with unpredictable scaling. No vendor lock-in, no surprise bills.
• For enterprises: Multi-site deployment with source code access available at the highest tiers. Custom expert development, joint research programs, dedicated support teams. Compliance isn't an afterthought. GDPR, NIS2, DORA, the EU AI Act: we built for these from day one. When regulators ask why your AI made that decision, you have answers. Not approximations through attention weights, actual deterministic reasoning traces.
• For governments and critical infrastructure: Air-gapped sovereign deployment with technology transfer programs. Zero external dependencies, no phone-home features, complete institutional security certification. Deploy it completely isolated if your threat model requires it. Research institutions can qualify for up to 100% discount by contributing compute to the Mesh network. National AI independence, not vendor dependency.

The technology stack we built

We're not building just one product. We built an ecosystem of seven systems that work together:

• Dweve Core is the discrete / lowbit AI framework making everything run on standard hardware instead of expensive GPUs. 1,930 algorithms with over 400,000 hardware-optimized implementations. This is why we get 96% less energy consumption. Learn more about Core →
• Dweve Nexus orchestrates intelligent agents that actually work together. 31 ways to understand your data, 8 different reasoning modes, 6 layers of safety, and complete explainability. Agents that coordinate in milliseconds and show you exactly how they reached conclusions. Learn more about Nexus →
• Dweve Loom is our 456-expert reasoning model. Instead of one AI trying to know everything, we have specialists: medical experts, legal analysts, programmers, writers. They work together through deterministic logic you can actually trace and verify. Learn more about Loom →
• Dweve Mesh turns idle European computers into AI infrastructure. Your laptop sitting unused overnight? It can help power AI while you sleep and earn you credits. European hardware, European control, 96% less energy than traditional datacenters. Learn more about Mesh →
• Dweve Spindle makes sure your AI training data is actually trustworthy. 7-stage verification process with 32 specialists checking quality, detecting bias, validating compliance. Because garbage data makes garbage AI, no matter how fancy your model is. Learn more about Spindle →
• Dweve Fabric is where you interact with everything: chat with multiple experts, activate workflows, manage knowledge bases. Bring your own API keys for ChatGPT, Claude, Gemini, or 100+ other models. One interface orchestrating it all. Learn more about Fabric →
• Dweve Aura handles autonomous development. The system that builds and improves itself. Continuous learning and optimization without constant human babysitting. Learn more about Aura →

And that energy efficiency translates to real environmental impact. Less e-waste from constant hardware upgrades. Reduced carbon footprint from power consumption. Lower water waste from datacenter cooling. Fewer materials, land, and workers diverted from housing to build massive datacenters. These aren't abstractions. They're real reductions in waste that comes from choosing different architectural foundations.

Generative AI that actually works

Let's talk about creative generation, because this is where our hybrid approach really shines.

Traditional generative AI has fundamental problems: it hallucinates facts confidently, it forgets context and contradicts itself, and it's hard to steer precisely. Everyone just accepts these limitations as the cost of doing business.

We didn't accept that.

Dweve Loom solves these problems through constraint-based generation. When Loom generates creative content, it's not just pattern matching. It's reasoning with specialized experts who validate every claim, maintain narrative consistency, and ensure logical coherence.

Writing a technical article? The Cryptography Expert ensures technical accuracy while the Academic Writing Expert maintains proper structure and citation. Creating marketing copy? The Business Communication Expert sets the tone while the Fact Checker validates every claim. Generating code? The Security Auditor makes sure it's secure by design while the language-specific optimizer makes it idiomatic.

We use neural networks for creative fluency and constraint systems for factual accuracy. The result: AI that writes like a poet but fact-checks like a librarian. The combination gives you content that's both creative and trustworthy.

Are we always the absolute best at pure neural generation? Not yet. We're working on making our neural components even stronger. But here's what we can do that others can't: generate content you can actually trust for business-critical applications. Generate code that's production-ready, not just functionally correct. Generate reports that regulators will accept because every fact is verified and traceable.

What you actually get

Depends on who you are. We built different options for different needs:

• For individuals: €29/month gets you chat with 456 experts, agents that execute tasks, workflows, knowledge bases, and Dweve Aura for autonomous development (including CLI access). Or better: join the waitlist, contribute your spare compute to the Mesh, and your subscription becomes free plus you get Aura free—for as long as you keep contributing. Compare that to ChatGPT Plus (€20/month limited to chat), Claude Pro (€20/month limited features), where you're paying for restricted access. You get the full platform with complete privacy and explainability.
• For SMBs and startups: Access the complete platform through our Mesh API with transparent token pricing. Qualify for our startup program (up to 90% discount for rapid growth). On-premise deployment is also available for organizations needing complete infrastructure control. Compare that to cloud API costs where a moderate-scale application easily hits €50K-150K/year with unpredictable scaling. You get the complete seven-product platform: your own Loom model, Nexus orchestration, Spindle data governance, Fabric interface. Predictable costs, no vendor lock-in.
• For enterprises: Multi-site deployment with source code access at higher tiers. Custom expert development, joint research programs, dedicated support. Deploy air-gapped if needed. Compare that to cloud enterprise contracts costing hundreds of thousands annually with data sovereignty concerns, or building in-house requiring millions in infrastructure and ML talent. You get complete control, full explainability for regulators, and costs that scale with your sites, not your usage.
• For governments and research institutions: Air-gapped sovereign deployment. Technology transfer programs. Zero external dependencies. Research institutions can qualify for our academic research program—up to 100% discount based on contributing compute to the Mesh network. Compare that to relying on foreign cloud providers with security concerns and no control, or impossibly expensive in-house builds. You get national AI independence with complete data sovereignty.

About that waitlist

Here's the actual situation: our technology and all seven Dweve products are ready. They're currently being deployed with enterprise and government clients.

The public waitlist exists to manage controlled scaling of our global Dweve Mesh infrastructure. We want to ensure everyone gets a high-quality, high-performance experience when we open public access. We're not going to rush it and compromise what makes the system work.

Waitlist benefits are real:

• Standard benefit: Join the waitlist, subscribe to any paid plan or license within 3 months of public launch, get 15% lifetime discount. Forever.
• Power user benefit: Join the waitlist, subscribe to a consumer plan, actively dedicate spare compute to our Mesh network, and your subscription becomes free. Plus you get Dweve Aura free. For as long as you keep contributing compute. Stop contributing, access suspends. We monitor contributions, so it's transparent.

This isn't marketing fluff. It's how we're building a sustainable distributed infrastructure that benefits everyone.

What we're actually promising

Not artificial general intelligence. Not magic. Not solutions to every conceivable AI problem. No black boxes. No surprise bills. No data exfiltration. No hoping the model got it right. Just deterministic, explainable AI that works the way enterprise software should.

We're building systems that give you control, explainability, and privacy. Systems you can audit when regulators come asking. Systems you can run without sending your data elsewhere. Systems that continuously learn from being used without requiring expensive retraining cycles.

Systems that generate trustworthy content for business-critical applications. Systems that combine creative capability with logical consistency. Systems where you can understand and verify every decision.

If you need to explain to regulators why your AI made a specific decision, we can help. If you need to process sensitive data without it leaving your infrastructure, we can help. If you want generative AI that doesn't hallucinate facts in business documents, we can help. If you want to use multiple LLMs without vendor lock-in while maintaining privacy across all of them, we can help.

Why we built this

Because we think AI should be something you control, not something that controls you through opaque decision-making and unpredictable costs.

Because we think European values around privacy, transparency, and individual rights should be built into the architecture from day one, not bolted on later when regulators force the issue.

Because we think organizations should be able to understand and explain their AI systems to regulators, customers, and themselves, not just trust them blindly and hope nothing goes wrong.

Because we think generative AI should be trustworthy enough for business-critical applications, not just impressive demos that fall apart under scrutiny.

And because we looked at the current state of AI deployment: the vendor lock-in, the privacy concerns, the explainability problems, the hallucination issues, the energy consumption, the unpredictable costs. We thought there has to be a better way to do this.

So we built that better way. The technology is ready. The products are currently being deployed with enterprise and government clients. The final scaling work for public infrastructure is happening now. And when we open public access, you'll get AI infrastructure that actually respects privacy, provides real explainability, generates trustworthy content, and gives you genuine control.

We built AI different. Come see why it matters.