Private LLM Platforms
On-prem and hybrid AI platform delivery with model serving, RAG integration, access controls, and audit-friendly logging.
Security-first. On-prem. Audit-ready.
Private AI & infrastructure that doesn’t flinch at 3 a.m.
TechSoft Systems helps organizations design, deploy, and operate mission-critical environments, from hyperconverged infrastructure to GPU-accelerated private LLM platforms. You get performance, reliability, and governance without handing sensitive data to public AI endpoints.
65%
less unplanned downtime
100+
servers migrated, zero loss
30K/day
secure on-prem LLM queries
What we do
Infrastructure, private AI, security, and training that makes your team effective fast.
High-Performance Infrastructure
Virtualization, storage, and network architecture tuned for real-world workloads and predictable uptime.
Security & Compliance
Policy-aware architecture, identity controls, monitoring, and incident readiness for regulated environments.
Ops & Reliability
Runbooks, patch cadence, backup and DR strategy, and observability that improves response quality.
AI Training & Enablement
Hands-on programs for IT teams, business users, and leaders with measurable outcomes.
Trusted delivery signals
Placeholder trust elements you can refine with client-approved language, logos, and compliance wording.
Governance posture
Compliance Badges
- Audit-ready architecture patterns
- PII-aware workflow controls
- Policy-linked approval checkpoints
Regulated sector
Client Testimonial Placeholder
“TechSoft helped us stabilize operations and modernize safely. We reduced downtime and improved response confidence across teams.”
Director of Infrastructure, Regional Public Organization
Reference accounts
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Client Logo A Client Logo B Client Logo C
Training
AI adoption fails when teams are undertrained. We deliver practical, role-specific programs that balance speed, safety, and operational control.
For IT & infrastructure teams
AI Workloads Bootcamp
GPUs, containerized serving, RAG pipelines, security boundaries, observability, and cost/performance tuning.
For employees & power users
AI Literacy for the Real World
Prompting, validation, data handling, and practical workflows with policy-safe guardrails.
For leaders & rollout teams
AI Adoption Playbook
Use-case triage, risk tiers, governance controls, and scaling without shadow AI.
Formats
Choose what fits your team
- 2-4 hour workshop
- 1-2 day hands-on bootcamp
- 4-6 week cohort
- Custom regulated-environment program
Outcomes
Measurable progress, not slides
- Lab exercises and architecture diagrams
- Internal policy cheat-sheet
- Approved workflows playbook
- Adoption and risk metrics template
Selected work
Case studies with architecture decisions, tradeoffs, and measurable outcomes.
Private AI
On-Prem LLM Platform
Designed and delivered a secure GPU-backed internal LLM platform for high-throughput enterprise workflows.
Government / Regulated
Downtime Reduction Program
Reliability modernization and observability overhaul for a regulated environment that materially reduced unplanned outages.
Infrastructure
Zero-Loss Virtualization Migration
Planned and executed migration of 100+ servers with rollback-safe cutovers, no data loss, and minimal business disruption.
AI Lab
How private AI stacks are built and tuned in real environments, without exposing internal sensitive details.
- How we design private AI stack reference architectures
- Inference performance tuning and benchmark strategy
- Safety controls, policy routing, and model governance
- Observability patterns for GPU workloads
Open source
Contributions, internal tooling, and demos we can share publicly.
Open-WebUI contributions, internal utility projects, and reproducible demo repos.
See open-source work →Ready to build something resilient?
Email is fastest. If you want to scope training, infrastructure, or private AI delivery, start here.