Secure-by-design & Zero-Trust
Every architecture is born with security embedded: Shift-Left, Policy-as-Code, continuous SAST/DAST, and SBOM management. Zero implicit trust — every agent and service verifies, every request authenticates.
We don't build wrappers. We orchestrate enterprise intelligence with mature engineering.
We don't wrap public APIs with marketing. We design ecosystems of collaborative agents on highly-specialized Small Language Models, under mission-critical engineering methodologies. Real cognitive control over your processes — without compromising security or blowing up costs.
Secure-by-design · Shift-Left · Zero-TrustPrivate SLMs · AWS · Azure · on-prem availableOpenTelemetry · Cloud-based Identity · FinOps
Agentic DevOps Foundation 2.0
Philosophy
Hyper-specialization over hyperbole. Engineering over hype.
El market is saturated with promises of 'AI in one click'. Real transformation does not lie in superficial ease, but in strategy, planning and execution. We design mission-critical cognitive infrastructure with the rigor of an enterprise architect — not the fluke of a wrapper.
P95 Latency & Performance
Highly-specialized SLMs optimized for millisecond inference. AKS, AWS Lambdas and FastAPI with low-latency APIs. OpenTelemetry distributed tracing to guarantee predictable P95 in production.
FinOps & Token Savings
Model Selector with multi-model routing that saves ~30% token consumption vs. generic LLMs. Per-domain budget governance, per-query cost traceability, and back to on-prem when it pays off.
Services
Three practices, one single cognitive architecture
Each practice covers a critical domain of the agentic SDLC and composes with the others under a single governance frame. None operates in isolation; all share identity, observability and guardrails.
SDLC · CI/CD · Zero-Trust
DevSecOps & Agentic SDLC Orchestration
Transition from isolated automations to integrated ecosystems under Secure-by-design, Shift-Left and Zero-Trust principles. We design native and hybrid architectures following the AWS and Azure Well-Architected Frameworks.
- AWS + Azure Well-Architected: cloud-native and hybrid
- One Toolchain: ADO, GitHub Enterprise, Jenkins, Bitbucket
- Continuous SAST/DAST · SBOM · Policy-as-Code
- Software inventory: JFrog Xray, Artifactory, Snyk, Checkmarx, Mend
RAG · AKS · FastAPI · Costs
RAG Platforms & Enterprise SLM Agent Engineering
Secure connection of corporate knowledge through highly-specialized Small Language Models that drastically reduce inference cost. Cloud-native orchestration of microservices and persistent conversational memory.
- AKS (Azure Kubernetes) · AWS Lambdas · FastAPI + API Gateway
- RAG with Semantic Kernel · Azure OpenAI (GPT-4o/mini)
- Multi-turn memory with Azure Cache for Redis
- Ingestion: Azure AI Search + Document Intelligence + SharePoint
Identity · Observability · FinOps
AI Governance, Identity and Observability
Eliminating the black-box effect. Total control over who queries, what data is read and how much budget each token consumes. Corporate identity, security trimming and end-to-end distributed tracing.
- SSO + On-Behalf-Of (OBO) with Microsoft Entra ID App Roles
- Security Trimming · Private Endpoints · role/region filters
- OpenTelemetry · Application Insights · Log Analytics (P95, 5xx)
- FinOps: per-domain budget and per-query cost
Framework
The Agentic DevOps Framework
A four-phase flow that turns AI intent into governed production. Each phase delivers versioned artifacts and auditable metrics.
- 01
Assessment & Mapping
We analyze the real friction of your architecture: tech debt, deployment routes, compliance gaps and operational bottlenecks. Deliverable: agentic maturity heatmap.
- 02
Optimal Stack Selection
We pick the correct SLMs and orchestration tools compatible with your real stack — open-source, on-premise, multi-vendor. No lock-in, no hype.
- 03
Collaborative Orchestration
We design multi-agent flows with human-in-the-loop: every agent has a role, permissions, a validator and traceability. The human approves; the ecosystem executes.
- 04
Governance & Deployment
Continuous DevSecOps delivery under guardrails: policy-as-code, agentic observability, control networks and automated rollback. Auditable trust, not black box.
Engineering Case Studies
Proven Infrastructure & AI Governance
Real-world deployments where we transformed fragmented toolchains into governed, observable AI platforms. Measured outcomes, not slideware.
Multicloud RAG Conversational Platform with Role-Based Security Trimming
Challenge
Centralize fragmented knowledge across multiple clouds and SharePoint for a multinational corporation, eliminating AI hallucinations while enforcing regulated access levels.
Solution
Native Semantic Kernel orchestration with hybrid Azure AI Search indexing, plus OBO authentication via Microsoft Entra ID to inject dynamic Security Trimming by metadata.
Azure OpenAISemantic KernelAzure AI SearchEntra IDFastAPI
MetricsP95 Latency < 2.8s | FinOps ~30% Token Savings | Active Governance
Multi-Region Pipeline Orchestration & Security Hardening (Zero-Trust SDLC)
Challenge
Unify a fragmented toolchain across Azure ADO and GitHub Enterprise for banking environments, minimizing deployment time while hardening the attack surface.
Solution
One Toolchain strategy design with modular AKS infrastructure orchestration and automated static/dynamic analysis (SAST/DAST) enforced via Policy-as-Code patch policies.
AKS (Kubernetes)GitHub EnterpriseAzure ADOSnyk / CheckmarxTerraform
MetricsCritical Vulnerabilities -85% | SBOM Automation 90% | Active Zero-Trust Compliance
Telemetry · Production
What we measure in production, not what we promise in pajamas
OpenTelemetry distributed tracing over Application Insights. Every metric below reflects the actual operation of the ecosystems we deploy for enterprise clients.
Operational metrics
LiveOK
2.41s
P95 Latency
Target < 2.8s
OK
0.62%
Error Rate
Target < 0.8%
OK
31.4%
Token Savings
Target ~30%
Distributed trace (OpenTelemetry)
1706 ms · 128 req/sAPI Gateway
18ms
Auth OBO (Entra ID)
42ms
RAG · Azure AI Search
380ms
Model Selector
12ms
SLM Inference
1240ms
Redis · multi-turn memory
14ms
Model Selector · Multi-Routing
Routes each request to the optimal SLM/LLM by cost-latency.
gpt-4o-minirouted
gpt-4oidle
phi-3-mediumidle
mistral-7bidle
llama-3.1-8bidle
Security Trimming · Entra ID App Roles
OTLP traces → Application Insights
P95 < 2.8s · SLO 99.9%
Representative visualization · Metrics update in real time to demonstrate the observability pattern we deploy in production.
Contact
Let's book a diagnosis session
Tell us your infrastructure and process challenge. We reply within 24 business hours with an initial blueprint and a technical session proposal.
- No commitment · optional NDA on first session
- Initial architectural blueprint at no cost
- Agnostic multi-model evaluation of your current stack