Sequora is a delivery organisation, not a staffing company. We build and ship production-grade systems, multi-agent AI pipelines, FedRAMP-aligned cloud environments, DevSecOps pipelines under fixed-scope, sprint-based agreements. Every engagement ends with working software and a full audit trail, not a slide deck.

Financial Services (AML, KYC, underwriting, fraud detection), Healthcare (claims adjudication, EDI, payer-provider automation), Legal and Compliance (case management, document review, matter management), Federal and Government (civilian agencies, DoD, state and local), and Civic and Municipal operations.

Sequora Partners is headquartered in Cary, North Carolina. Most of our team operates remotely across the United States, with client-facing presence in Washington D.C. and other federal and enterprise markets.

Yes. Sequora Partners holds WOSB (Woman-Owned Small Business) certification, NMSDC MBE recognition, and SBA acknowledgement. We are also GSA MAS Schedule-approved, SAM.gov-registered, and FedConnect-certified.

Sequora orchestrates Anthropic Claude, OpenAI GPT, and Google Gemini through multi-LLM routing selecting intelligently per task type based on accuracy, cost, and compliance requirements. Our orchestration stack is built on LangGraph, LangChain, CrewAI, and LlamaIndex, with RAG pipelines and vector databases for document intelligence.

Multi-agent orchestration is the coordination of multiple specialised AI agents working in sequence or parallel one handling intake, one reviewing documents, one routing decisions, one logging the audit trail. Together they replace entire manual workflows. Sequora builds these using LangGraph, which leads production multi-agent deployments in 2026.

No. Sequora builds human-in-the-loop governance into every pipeline configurable approval gates, escalation paths, and full audit trails ensure the right human sees the right decision at the right time. Automation reduces manual volume; governance ensures accountability.

RAG (Retrieval-Augmented Generation) is the technique of giving an AI model access to your specific documents, databases, or knowledge bases at inference time so it can read, understand, and act on your contracts, claims, case files, and forms. Sequora builds RAG pipelines that make unstructured content structured, searchable, and actionable in seconds.

Manual configuration introduces inconsistency, drift across environments, and compliance risk. By codifying every deployment, Sequora guarantees that every environment is identical, instantly reproducible, and traceable critical for regulated clients and federal engagements where configuration errors have operational and legal consequences.

Sequora primarily architects on AWS, with deep GovCloud expertise for regulated and federal workloads. We also deploy on Microsoft Azure and Google Cloud Platform for clients requiring hybrid or multi-cloud architecture.

AWS GovCloud is an isolated AWS region purpose-built for U.S. government workloads and regulated industries requiring FedRAMP, DoD SRG IL4/IL5, CMMC 2.0, or NIST 800-171 compliance. Sequora architects GovCloud environments with compliance built into the infrastructure layer not added at audit time.

CI/CD (Continuous Integration / Continuous Deployment) automates build, test, and deployment steps eliminating manual release processes. Every change passes automated tests before reaching production, every deployment is tracked, and rollback is instant if needed. Sequora's GitOps-based pipelines deliver zero-downtime deployments with a full audit trail on every change.

The four wheels cover the full delivery stack: IaaS (automated compute, storage, and network infrastructure), PaaS (managed platforms with CI/CD and DevOps tooling pre-configured), DaaS (governed, real-time data services via API for AI consumption), and SaaS (Sequora's proprietary AI products as fully managed cloud services).

Traditional security testing happens after development often right before launch, when fixing issues is expensive. DevSecOps embeds security testing, compliance checks, and vulnerability scanning into every stage of the CI/CD pipeline, so issues are caught continuously. Sequora delivers systems security-documented and audited before go-live, not after.

FedRAMP is the U.S. government's cloud security framework, standardising assessment for services used by federal agencies. Authority to Operate (ATO) is the formal approval to run a system within a federal environment. Sequora delivers FedRAMP-aligned architecture with NIST 800-53 control alignment and complete ATO readiness documentation included.

AI red-teaming is adversarial testing of AI systems intentionally probing them to find manipulation risks, unexpected failure modes, and security vulnerabilities before deployment. It has become a mandatory requirement for major U.S. federal contractors as AI agents take on autonomous, mission-critical roles. Sequora includes AI red-teaming in its OWASP-aligned penetration testing service.

Layer 1 (Network perimeter): WAF, DDoS protection, TLS 1.3, firewall management. Layer 2 (Identity and access): Zero Trust IAM, MFA, RBAC, JWT, privileged access management. Layer 3 (Application security): OWASP compliance, SAST/DAST scanning, AI red-teaming. Layer 4 (Data encryption): AES-256 at rest, TLS 1.3 in transit, key management, DLP. Layer 5 (Incident response): SIEM monitoring, SOAR automation, RTO/RPO disaster recovery, forensics.

ETL (Extract, Transform, Load) transforms data before loading it into a destination. ELT (Extract, Load, Transform) loads raw data first and transforms it inside the cloud warehouse. Cloud-native ELT with tools like dbt delivers significantly faster iteration and is the standard for modern data engineering. Sequora uses AI-augmented ELT pipelines with schema drift detection and auto-correction.

Sequora migrates legacy data environments to Snowflake, Amazon Redshift, Google BigQuery, and open lakehouse formats (Delta Lake, Apache Iceberg). Every migration maintains zero data loss and full audit lineage, with measurable benchmarks validated at every stage.

Real-time streaming processes data as it is generated rather than in scheduled batches enabling fraud detection, personalisation, live dashboards, and AI-driven applications to act on current information. Sequora builds event-driven architectures using Apache Kafka and Airflow. Approximately 60% of new data pipelines now incorporate real-time or near-real-time requirements.

Sequora builds data governance layers that lineage-track, label, and structure datasets specifically for LLM and RAG consumption including vector database integration for embedding-based retrieval and API layers that expose governed data services to AI agents in real time.

GSA MAS Schedule · SAM.gov Registered · FedConnect Certified · CAGE Code: 9KU55 · SAM UEI: MEH2AXDY84D7 · WOSB Certified · FAR Compliant · FedRAMP-Ready · NMSDC MBE · SBA Recognised.

Sequora supports FedRAMP, NIST 800-53, FISMA, DoD SRG IL4/IL5, CMMC 2.0, NIST 800-171, and Zero Trust architecture aligned to NSA January 2026 guidelines and the DoD Reference Architecture.

Legacy IT modernisation replaces brittle, proprietary systems with modular, containerised, platform-agnostic alternatives. Sequora delivers phased modernisation assessment, roadmap, and AI-native platform replacement with zero operational disruption and full compliance lineage maintained throughout. No big-bang cutover, no data loss.

Yes. Section 508 is the U.S. federal accessibility standard requiring digital products to be usable by people with disabilities. All citizen-facing applications Sequora builds are Section 508-compliant and FISMA-compliant, meeting both accessibility and federal security requirements from the first sprint.

Every Sequora engagement runs on two-week sprints. Each sprint ends with production-deployable, demo-ready software not a status report. Scope and budget are agreed in writing before work begins, so there are no change orders and no end-of-project surprises. Every decision is documented in a full audit trail.

Sequora builds with Next.js 15, React 19, React Native, and Flutter for cross-platform web and mobile. Backends run on Node.js, Python, and FastAPI. APIs are designed as REST, GraphQL, or gRPC depending on the integration requirements.

Sequora builds clean, documented REST, GraphQL, and gRPC APIs that connect legacy systems, third-party services, and AI platforms. Every integration is versioned, monitored, and built to support the systems that consume it without tight coupling.

Secure by design means security and compliance are embedded from the architecture phase not added before launch as an afterthought. Every Sequora application is security-reviewed at the design stage, tested with SAST/DAST scanning throughout development, and delivered with compliance documentation complete before go-live.

Engagement length varies by scope. Infrastructure and security engagements typically run 8–16 weeks. Multi-agent AI system builds run 12–24 weeks depending on complexity and integration requirements. Federal modernisation programmes are phased across longer timelines. All engagements run on two-week sprints with working demos at every cycle.

Sequora's primary focus is the U.S. market particularly federal, regulated enterprise, and government clients. For international enquiries, contact us directly to discuss scope and applicability.

Sequora includes post-launch optimisation performance monitoring and user adoption tracking as standard. For ongoing managed services, infrastructure management, or continued development, we offer retainer arrangements. Every system we deliver includes full documentation so clients are never dependent on us for basic operations.

Yes. Sequora routinely operates under NDA, teaming agreements, and government security requirements. Our team holds relevant security credentials for federal engagements, and our procurement vehicles (GSA MAS, FedConnect) are structured for compliant government contracting.