Tech 42 - Production-Ready AI Agent Building and Deployment on AWS
Tech 42 · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Tech 42 helps organizations design, build, and deploy production-ready AI agents on AWS - optimized for scale, cost, and enterprise-grade reliability.
Whether you have a proof-of-concept, an early MVP, or an active agent, making the transition to production-level scale brings critical questions: Do you have the data and context needed? Will your integrations affect reliability? Will your infrastructure and costs scale predictably? How traceable and observable is your agent? Tech 42 answers all of these questions through a proven four-phase process.
Show the rest of the publisher’s description (7 more lines)
**Phase 1 -- Agent Design**: We validate feasibility, define agent capabilities and use cases, map required tools and integrations, identify data sources, project costs at scale, and deliver a comprehensive agent blueprint with architecture and cost model.
**Phase 2 -- Proof-of-Concept**: We build a functional agent deployed in your AWS environment with live integrations, working tool use (API calls, DB queries), robust observability and monitoring, and validation testing with real scenarios.
**Phase 3 -- Build for Scale**: We deliver production-ready agent infrastructure including Infrastructure as Code that auto-scales for cost optimization, advanced monitoring dashboards, enterprise security and compliance, robust error handling, and production API endpoints.
**Phase 4 -- Support and Optimization**: We serve as your ongoing partner for continuous improvement and scaling support.
Our AI Agent MVP package includes a comprehensive use case and data readiness review, personalized agent blueprint, scale-ready cost modeling and monitoring tools, and a working prototype with live integrations and tool use.
We use the same proven AI tech stack trusted by Uber, LinkedIn, Replit, Elastic, and other leading companies. Our team has worked with VC-backed startups, SMBs, and enterprise customers, delivering agents with predictable costs, proven security (including HIPAA and SOC II compliance support), optimized context and knowledge bases, unlimited tools and integrations, and complete monitoring with full observability and traceability.
For advanced requirements such as multi-agent orchestration, MCP server development, agent self-improvement, enterprise data readiness, or custom voice agents, our team has the expertise to help. As an AWS Advanced Tier Services Partner, Tech 42 can also help qualified customers secure AWS funding to accelerate their agent deployment.
Highlights
Highlighted by the publisher on AWS Marketplace.
Proven four-phase process from agent design through production deployment, delivering enterprise-grade AI agents on AWS in weeks with Infrastructure as Code that auto-scales for cost optimization
Built on the same AI tech stack trusted by Uber, LinkedIn, Replit, and Elastic -- with proven security supporting HIPAA and SOC II compliance, complete monitoring, and full observability
AI Agent MVP package including use case validation, personalized architecture blueprint, scale-ready cost modeling, and working prototype with live integrations and tool use
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Linked repositories
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