Six disciplines, one engineering bar.
ADILABS works across six practice areas. They share one delivery model — senior teams, end-to-end ownership, production discipline. Every label below is something we have taken to production for a paying customer.
Enterprise agentic systems — built to operate, not just demo.
Multi-agent systems on enterprise frameworks, with the user-aware permissioning, evaluation, and observability that make them safe in regulated environments.
Azure OpenAIAzure AI SearchAnthropicFrom legacy ETL to lakehouse, without breaking what works.
We modernize data estates other teams are afraid to touch. Informatica → AWS Glue. On-prem warehouses to Synapse and Databricks.
AWS GlueSparkSynapseDatabricksDelta Lake
MuleSoftPower PlatformSAPReal-time and batch ML on cloud-native warehouses.
Production ML pipelines, feature stores, and analytics surfaces on top of the lakehouse. Real models, real latency budgets, real cost discipline.
Azure MLSageMakerMLflowA real SRE practice — not DevOps with a Helm chart.
30+ production environments running today. CNCF-native platforms, GitOps delivery, on-call rotations we run for our customers.
KubernetesFluxArgo CDPrometheusGrafanaOpenTelemetry
TerraformPower Platform, MuleSoft, and agentic workflows.
Automate the work that lives between systems. Power Apps for line-of-business UIs, Power Automate for workflows, MuleSoft for the integration layer, and agents on top when the rules get fuzzy.
MuleSoftAzure FunctionsLimedocsEnd-to-end product delivery — architecture through operate.
When you need a real enterprise product built from scratch — office and field, web and mobile — and operated through go-live and beyond. Prosols was built this way.
.NETJavaPython
React
Next.jsReact NativeFlutterKubernetesSecurity isn't a feature we added. It's how we build.
Every system we ship is hardened from day one — internally and for the customers who trust us with their data. No shortcuts, no "we'll add security later."
- Zero-trust by default — no implicit access, ever
- Mutual TLS (mTLS) between all internal services
- Secret rotation with Azure Key Vault and HashiCorp Vault
- Sealed secrets — secrets-as-code, never in plaintext repos
- SOC 2 Type II and ISO 27001 aligned processes
- Mandatory code review + SAST/DAST on every merge
- Signed container images with supply chain verification (SBOM)
- Immutable infrastructure — nothing mutates in production
- Encrypted at rest (AES-256), encrypted in transit (TLS 1.3)
- OWASP Top 10 hardened at every layer
- Quarterly penetration testing with third-party auditors
- Network segmentation with zero-trust service mesh
- Tenant isolation — your data never touches another customer's
- RBAC with least-privilege enforcement at every API boundary
- Argon2id key derivation with per-user salt hashing
- Short-lived JWT tokens with automatic rotation
- OAuth 2.0 / OpenID Connect (OIDC) identity layer
- Immutable audit logs — every action, every actor, every timestamp
- Data tokenization and field-level masking for PII
- Ephemeral credentials — nothing lives longer than it should
- Rate limiting and DDoS mitigation with WAF
- Data residency controls — choose your region, we enforce it
- GDPR, HIPAA-ready architecture with consent and purge workflows
- Defense in depth — multiple independent security layers