We don't subcontract, outsource, or hand off. Every engagement — code, talent, infrastructure, or AI — is owned end-to-end by the same Ensofta team.
Architecture docs, test coverage, CI/CD, and production deployment — from a single team that doesn't hand off when it gets hard. We commit to a scope, a timeline, and a price. Then we ship it.
Custom web applications, portals, and internal tools built on Java, .NET, and modern frameworks — designed to scale, documented to maintain.
ERP, CRM, and legacy system integrations via REST, SOAP, and SSIS. We connect what your business depends on without breaking what already works.
Selenium and Rational-based test suites with real coverage metrics. We don't ship without tests, and we don't count manual clicks as coverage.
SSRS, Power BI, and custom reporting that gives your business real visibility — reports decision-makers actually use, not dashboards that look good in demos.
RESTful and GraphQL APIs built with versioning, documentation, and rate limiting from day one — designed for the developers who'll consume them.
Pipeline automation, containerization, and release management. We turn weekly deploys into daily ones — safely, with automated rollback.
We screen every candidate against the same bar we use internally. Technical assessment, reference verification, a real interview — not a résumé forward. If we wouldn't put them on our own sprint, they don't get to yours.
Cloud Architects, DevOps/SRE Engineers, Network Engineers, Security Engineers.
Java/.NET Developers, Full-stack Engineers, QA Automation Engineers, Integration Specialists.
Data Engineers, SQL Server/Oracle DBAs, SAP/PeopleSoft/Oracle Apps, Workday Consultants.
Splunk Engineers, Dynatrace Specialists, ServiceNow Developers, SOC Analysts.
Program Managers, PMI/PMP Project Managers, Scrum Masters, Business Analysts.
We fill roles that don't fit neat categories. Send us the spec — if the talent exists in the US market, we'll find it.
Security isn't a post-launch audit — it's a sprint-one architecture decision. Multi-cloud, on-premises, and GPU infrastructure, hardened and monitored from day one — not retrofitted after an incident.
AWS, Azure & GCP under one operations model — cost optimization, right-sizing, and FinOps practices built in from day one.
On-premises data center design and GPU cluster deployment for workloads that need to stay in-house or need dedicated compute.
Identity-first security. Least-privilege access and microsegmentation — so a single compromised credential can't move laterally.
Splunk, MS Sentinel, and Dynatrace deployments with real alert tuning — we eliminate noise so your SOC focuses on real threats.
Firewall policy, VPN architecture, and network segmentation designed to stop breaches before they start.
When something goes wrong, we respond — incident containment, forensic investigation, and remediation on call.
We build the full stack — from data ingestion through to LLMs answering real business questions via RAG. If it doesn't ship to prod, it doesn't count.
Retrieval-Augmented Generation grounded in your proprietary data — your LLM answers from your documents, not hallucinated training data.
Enterprise AI platforms across cloud providers and self-hosted infrastructure. Fine-tuning and optimization when off-the-shelf models aren't enough.
Embeddings and semantic search at production scale — we pick the right store for your workload and budget.
GPU clusters, model serving, and inference optimization — vLLM, TensorRT, and ONNX so your models serve real traffic affordably.
Autonomous agents that act on data — document extraction, classification, approval workflows, anomaly alerting.
Model registry, drift detection, and automated retraining — we keep your models healthy long after launch.
30 minutes. No pitch deck. Straight answers on what we can build, who we can place, and what it'll cost.