ClaireChains
COMPLETE AI TECHNOLOGY STACK

Enterprise AI SolutionsSilicon-to-Software

Deep GPU & compiler expertise, advanced reasoning models, autonomous security, and production-ready infrastructure—delivering the complete AI stack for enterprise deployment.

Custom Kernel DevelopmentCUDA, HIP, Triton expertise with FlashAttention variants and custom kernels development. MLIR pass development and Hardware-specific optimization

In-house development of Advanced Reasoning Modelse.g. Datarus-R1: a 14B parameter model with trajectory learning and demonstrated benchmark efficiency

Production HPC InfrastructureMulti-GPU clusters with InfiniBand/RoCE optimization, Kubernetes orchestration, and monitoring

Autonomous Security24/7 AI-powered SOC with real-time threat detection, MITRE ATT&CK mapping, and automated response

// MLIR Custom Pass for AI Inference
func.func @optimized_attention(
%query: tensor<1024x768xf16>,
%key: tensor<1024x768xf16>
) -> tensor<1024x1024xf16> {
%0 = "gpu.matmul"(%query, %key)
{transpose_b = true,
precision = "TF32",
fusion = "flash_attention"}
return %0 : tensor<1024x1024xf16>
}
Custom kernel fusion • notable speedups • significant memory savings

Deep Technical Expertise

From custom kernels to productionized AI

ClaireChains unites kernel engineers, compiler specialists, and SRE teams to squeeze every FLOP from modern accelerators while maintaining reliability.

Design bespoke GPU and accelerator kernels across CUDA, HIP, Triton, and SYCL to unlock peak throughput for training and inference.

Languages & APIs

CUDAHIPTritonSYCLOpenCL

Specializations

  • FlashAttention and ring attention variants
  • Fused MoE routing and mixed-precision GEMMs
  • FP8 pipelines with custom calibration
  • RoPE and positional kernel suites
Frequent drops
New kernels released
High-bandwidth
Memory tuning focus
Proven uplifts
Throughput improvements

Cross-vendor accelerator coverage

We actively tune production workloads across the latest NVIDIA, AMD, and AWS silicon.

NVIDIA
H100 / H200 / B200

Hopper and Blackwell platforms with TensorRT-LLM and Triton kernel stacks.

AMD
MI250X / MI300X / MI325X

CDNA3-optimized HIP and Triton pipelines with ROCm profiling.

AWS
Trainium / Inferentia2

Neuron SDK pipelines with multi-AZ elastic serving playbooks.

Marketplace

Kernel & Infrastructure Lab

FP8/INT4 quantization pipelines, fused GEMMs, and FlashAttention variants

Custom MLIR + LLVM lowering paths for CUDA, HIP, Triton, and SYCL

Runtime tuning for vLLM, TensorRT-LLM, DeepSpeed, and Ray serving stacks

InfiniBand/RoCE fabric design with Kubernetes and Slurm orchestration

Notable speedups

Inference gains

Major savings

Memory footprint

Hyperscale fleets

GPUs tuned

ClaireAI Security Cloud -Autonomous SOC Agents

Continuous monitoring, vulnerability correlation, and autonomous playbooks orchestrated by specialized security LLMs.

AtlasAI

24/7 Agentic Response ClaireAI triages alerts, enriches context, and executes containment without human lag.

MITRE-Aligned Detection Behavioral analytics mapped to ATT&CK tactics, techniques, and procedures.

Threat Intelligence Fusion Correlate vulnerabilities, telemetry, and intel to surface the riskiest exposures first.

Datarus-R1

Adaptive Reasoning Model

A 14B open-weights LLM tuned for analytical problem solving with trajectory-centric learning and AHA-moment reflection.

Trajectory Learning Trains on hundreds of thousands of solved and corrected reasoning paths to refine answers in-context.

Token Efficiency Adaptive depth reduces token usage compared to peer reasoning models.

Dual Operation Modes Agentic tool-calling or concise <think>/<answer> outputs for enterprise workflows.

AtlasIDE
ClaireChains