Our Services
Secure, Scalable AI Infrastructure — Built to Comply, Perform, and Scale
Infracta™ delivers GenAI infrastructure purpose-built for regulated industries, mission-critical operations, and high-volume environments. Our solutions are currently powering:
20M
+
End users across public-sector and Fortune 100 platforms
50
M+
In annual risk protected through secure LLM-based fraud and compliance systems
37
%
Average reduction in infrastructure spend via platform optimization
30-45
%
Faster inference times, enabling real-time AI at scale
300
+
Stakeholders trained, spanning engineering, risk, and governance
1.2M
+
In projected advisory revenue, with individual projects ranging $150K–$400K+
Whether you’re deploying across cloud, on-prem, or hybrid infrastructures, we engineer solutions that hold up under scrutiny — and scale without surprises.
AI Infrastructure & Platform Engineering
Multi-tenant GenAI platforms with full lifecycle governance and infra-as-code reliability
Key Features
- Secure AWS Bedrock + EKS deployments under FedRAMP Moderate
- CI/CD pipelines with scoped IAM, TLS, RBAC, and rollback enforcement
- Support for 20+ production-ready Terraform modules for repeatable provisioning
Outcomes
- 60% reduction in onboarding time for new AI teams
- 3x faster provisioning cycles for multi-agent platforms
- 100% audit trail coverage across 100+ model endpoints and services
- 99.9% SLA uptime maintained across environments
AI Governance & Compliance Tooling
Real-time enforcement of security, auditability, and LLM safety constraints
Key Features
- Role-based access + token-level trace logging for every model call
- CFR-compliant metadata via IRS 48-12, HIPAA, SOX, GDPR, and FISMA
- Compliance templates and controls pre-mapped to GPRM, SOC 2, and internal audit criteria
Outcomes
- Zero-trust enforcement across 100% of API endpoints
- Full RBAC segmentation for multi-org deployment environments
- Measured 65% drop in compliance violation flags during pre-prod audits
- <72-hour audit readiness across GenAI platforms in regulated orgs
MLOps & DevSecOps Automation
Hardened, scalable automation for LLM lifecycle workflows and compliance pipelines
Key Features
- Multi-layer rollback protections in Jenkins, GitHub Actions, and Terraform
- 25+ reusable modules for standardized deployment + rollback logic
- Pre-release validations for model weight changes, prompt patching, and API schema drift
Outcomes
- 50% reduction in LLM deployment errors across 6+ enterprise environments
- 40% decrease in retraining frequency due to structured pipeline automation
- 99.9% uptime across multi-cloud ML/LLM pipelines, including AWS + Azure
LLM & GenAI Solutions Architecture
Design and deployment of LLM systems with explainability, safety, and enterprise observability
Key Features
- LangChain-based multi-agent pipelines, prompt chaining, and RAG architecture
- NVIDIA NeMo integration for actor-intent detection, score weighting, and token filtering
- Real-time vector search using OpenSearch and semantic enrichment models
Outcomes
- Under 5s semantic search latency on 50GB+/day data pipelines
- 4x acceleration of legal + regulatory review throughput
- 98%+ response traceability in internal audit sampling
- 30–40% reduction in false positive outputs through score-tuned agent collaboration
Semantic Search & Data Enrichment
High-speed unstructured data pipelines with enriched semantic output
Key Features
- Transformer-based enrichment models with UMAP, DBSCAN, and NeMo
- Vector DB integrations with OpenSearch, Pinecone, and custom retrievers
- Dynamic sharding, deduplication, and semantic clustering at scale
Outcomes
- 40% reduction in legal research time per rulemaking cycle
- 3–5 day reduction in content review timelines for policy and compliance workflows
- <5s semantic query latency on 50–100GB+ daily processed datasets
- 30% improvement in deduplication precision, improving regulatory traceability
Strategic Add-On Services
Enterprise-boosting services to complement core infrastructure delivery
Key Features
- Cost benchmarking frameworks: identify 25–40% in avoidable infra overspend
- 300+ engineers + risk leads trained on LLM compliance, orchestration, and safety
- Legacy-to-cloud modernization blueprints, supporting AWS, Azure, and on-prem hybrid cutovers
- Optional LLMOps advisory track, including structured MCP rollout + governance playbooks
Get Started