Reliable AI Systems
Engineered for Scale
We build, deploy, and manage secure AI infrastructure. Trust our enterprise solutions for billion-row data pipelines and compliant model serving.
Trusted By Industry Leaders
Core Capabilities
Secure, scalable, and compliant AI engineering designed for large-scale enterprise deployments.
AI Systems & Model Engineering
Custom LLM fine-tuning and agentic workflow automation to increase model accuracy on proprietary enterprise data.
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- Custom LLM fine-tuning & instruction tuning
- Agentic AI & multi-agent orchestration
- Multi-modal end-to-end pipeline development including Computer Vision, NLP, and Audio
- Custom model architectures & research
- Transfer learning & domain adaptation
- Model evaluation & benchmarking
Deployment & Inference
Triton Inference Server deployment for low-latency, high-throughput model serving.
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- Triton Inference Server deployment
- vLLM deployment for LLM inference
- FastAPI & scalable API gateways
- Dynamic batching & request optimization
- Model quantization (INT8, FP16, GPTQ)
- GPU pooling & load balancing
Big Data & Distributed Compute
Enterprise-grade data infrastructure and distributed training for billion-row datasets using Kubernetes and PySpark.
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- PySpark & distributed ETL pipelines
- Kubernetes & container orchestration
- Data pipelines for billion-row datasets
- Real-time streaming (Kafka, Flink)
- Data lake & warehouse architecture
- GPU cluster management
Technical Case Studies
Real-world deployments demonstrating deterministic scaling and infrastructure resilience.
Real-time Multimodal Vector Search
- Vector DB with disk-based index for 1B+ vectors
- Triton + dynamic batching achieving sub-200ms latency
Operations Impact
40% cost reduction
Agentic Enterprise Orchestration
- vLLM + Triton deployment with active GPU pooling
- Policy-driven multi-agent orchestration
Operations Impact
60% latency threshold reduced
Edge Video Analytics Pipeline
- Distributed PySpark processing 1M+ frames daily
- TensorRT edge deployment across 500+ locations
Operations Impact
90% reduction in edge compute wait
Why MacroInception
We bypass the hype phase and focus strictly on measurable metrics: accelerating inference, crushing operations costs, and fortifying production reliability.
I. Production-First
Every architecture is designed for the crucible of production from day zero. We embed comprehensive Prometheus tracking, Grafana observability, and aggressive failover topology standard.
II. Cost-Optimized
Inference runs hot. Through aggressive quantization (INT8/FP8), dynamic continuous batching, and intelligent GPU pooling, we typically slash cloud infrastructure run-rates by 30–50%.
III. Battle-Tested
Our hardware topologies and software pipelines currently power systems managing billions of asynchronous requests daily, ensuring strict SLA adherence and zero-downtime rollouts.
Initialize Deployment
Submit system scale requirements to schedule a technical architecture deep-dive.