Stop renting your brain on public APIs. We architect, fine-tune, and deploy owned AI agents on your infrastructure. Your data. Your weights. Your moat.
The difference is ownership. Generic models are for tourists. Fine-tuned sovereign models are for industry leaders. We turn the 'AI Paradox' into EBIT expansion.
A complete toolchain for enterprises that refuse to be tenants in someone else's intelligence factory.
QLoRA and PEFT adapters to imprint brand DNA into Llama 4 or Mistral architectures.
High-dimensional vector pipelines. Grounding responses in your proprietary truth.
Autonomous ReAct agents capable of multi-step planning and tool execution.
4-bit quantization for running powerful models on local, cost-controlled hardware.
CI/CD for AI. Drift detection, PII redaction, and continuous evaluation loops.
Bridging neural networks with SQL databases and ERPs (SAP/Oracle) seamlessly.
No data leakage. No API dependency. You own the model weights, ensuring your IP remains an asset, not a rental.
Slash inference costs by 90%. Specialized 7B parameter models outperform rented 700B generalists at a fraction of the compute cost.
Eliminate hallucination. By training on your corpus, we reduce error rates from the industry standard 15% to <1%.
Real-time inference. Optimized for <200ms response times, enabling fluid voice and agentic interactions.
Audit of unstructured data (PDFs, Logs). Feasibility study and architecture selection (Transformer vs. MoE).
Supervised Fine-Tuning (SFT) on NVIDIA H100 clusters. Imprinting domain expertise into the model.
Deployment to VPC. Real-time evaluation of token usage, latency, and drift.
RLHF (Reinforcement Learning) loops. The model gets smarter and more aligned with every interaction.
For founders who need to show VCs a technical moat. Move fast, deploy cheap, own the intelligence.
For CTOs navigating compliance (SOC2/GDPR). Secure integration with legacy stacks and zero-trust environments.
Your infrastructure is waiting. Your data is ready. Stop renting intelligence and start owning it.