DeepSentient helps growing companies assess and modernize cloud infrastructure, engineering workflows, observability, security, and technical operations — without disrupting production.
Growing companies run serious systems without a dedicated DevOps, SRE, or platform team. The same pressures show up again and again.
A read-only assessment maps exactly where spend goes, what's idle or oversized, and which savings are worth the effort — with evidence, not guesswork.
We review your CI/CD and release workflows, find the friction and the missing rollback paths, and prioritize the fixes that make shipping boring again.
We act as the platform team you don't have yet — assessing security, reliability, and operations, then implementing the improvements you approve.
AI only performs as well as the systems beneath it. We modernize the foundation first, then build practical AI and automation on top of it.
Most engagements start with an assessment — a low-risk, read-only look at the systems your business runs on. Implementation and AI come after, on your terms.
Read-only analysis of infrastructure, security, cost, reliability, and operational maturity. Evidence-labeled findings, a prioritized 90-day roadmap, and a human-reviewed report — delivered in five business days.
Assess Explore the assessment →Execution of approved infrastructure, DevOps, automation, observability, and security improvements — scoped from the assessment roadmap, built without disrupting production.
Build How implementation follows →Practical AI, ML, data, and workflow automation designed around real business and engineering needs — built on a foundation that can actually support it.
Extend Discuss an AI project →One AWS account, five business days, no production changes. You get an executive summary, an evidence-labeled risk register, and a prioritized 90-day modernization roadmap — then decide what to implement.
Book a modernization assessmentWe keep things clear and low-friction. You'll know exactly what you're getting — and when — before we start.
A 30-minute conversation to understand your goals, constraints, and data. No sales pressure — just an honest assessment of whether and how we can help.
Free & no-commitmentWe send a clear proposal with defined deliverables, timeline, and cost. Fixed-price or time-and-materials — you choose what fits your needs.
Clear deliverables upfrontWe build, share progress weekly, and iterate based on your feedback. You retain ownership of your systems, data, and customer-specific deliverables, subject to the engagement agreement.
Weekly updatesDeepSentient combines engineering expertise, automation, structured analysis, and human judgment — applied to the systems your business actually runs on.
Deep academic grounding in ML theory applied to practical business problems — not just API wrappers.
Cloud, DevOps, security, cost, observability, data, and AI/ML — reviewed as one connected system.
From assessment findings all the way to implemented, monitored production improvements.
Project-based, retainer, or audit — we work the way your business needs us to.
Assessment delivery
Assessment areas covered
Your systems & data stay yours
We use best-in-class open-source and cloud-native tools — selecting the right stack for your problem, not the most fashionable one.
Docker
Containerize models and services for consistent, reproducible deployments anywhere.
Gradio
Spin up interactive ML demos in minutes — great for stakeholder buy-in and rapid PoC testing.
Kubernetes
Orchestrate large-scale model serving with auto-scaling, rolling updates, and high availability.
AWS SageMaker
Managed ML platform for training, hosting, and monitoring models at scale on AWS.
Hugging Face
State-of-the-art pre-trained transformers for NLP, vision, and multimodal tasks — fine-tuned to your data.
PyTorch
Flexible deep learning framework powering custom architectures and research-grade models.
fast.ai
High-level API over PyTorch — accelerates iteration and delivers strong baselines quickly.
JAX
Google's high-performance numerical computing library — excellent for custom ML research and XLA acceleration.
Keras
Clean, accessible deep learning API for rapid prototyping and production-grade model building.
W&B
Experiment tracking and model registry — every run is reproducible, every result is explainable.
Streamlit
Build internal ML apps and dashboards that non-technical stakeholders can actually use.
TensorFlow
Battle-tested ML platform with strong production and mobile deployment support.
Our assessment process is designed to establish trust before access is granted — without fabricated logos, borrowed case studies, or unsupported claims.
A transparent read-only AWS role you can review before deploying. No write access, ever.
Configuration metadata only — no secret values, application data, database contents, PHI, or PII.
The assessment observes; it never modifies. Your systems run exactly as they did before.
Every finding is reviewed by an engineer before it reaches you — nothing ships as raw automated output.
Findings are marked Confirmed, Likely, or Needs Validation — so you know what's verified fact.
A 90-day plan ranked by risk, effort, and impact — actionable whether or not we implement it.
Get a clear, evidence-backed view of your infrastructure, risks, costs, and modernization priorities — without granting write access or disrupting production.
General questions, AI projects, or anything else — we'll respond within one business day. Looking for the infrastructure assessment? Request it directly here.
Prefer email? info@deepsentient.io