01Custom
Custom AI Agent Development
End-to-end agents from requirements to production. RAG, API integrations, and enterprise-grade security included.
- Architecture
- API integration
- Production deploy
AI Lab as a Service
Agents built.
Bottlenecks broken.
Starting fresh or stuck at scale, tensormate is the on-demand AI lab that ships reliable agents where generic builds stall.
Expert engineering · Pilot in 4–6 weeks · Free assessment
Sample outcome
Support agent, six-week pilot
−76% cost
OutcomeBeforeAfter
Resolved on first reply
38%
81%
Cost per conversation
$0.21
$0.05
Answers with no source
17%
0.5%
The agent was already live. It guessed, cost too much, and forgot the account after the first turn.
- Tickets, help center, and product docs in one knowledge base
- Routine replies moved to a smaller fine-tuned model
- The account stays in memory across the thread
- An alert fires when an answer leaves the source
- Agent Development
- Unified Knowledge Base
- Agent Optimization
- Monitoring
- Context Engineering
- Model Fine-Tuning
- LLM Migration
- Multimodal RAG
Agent Development, Unified Knowledge Base, Agent Optimization, Monitoring, Context Engineering, Model Fine-Tuning, LLM Migration, Multimodal RAG
The lab
AI Lab as a Service
From first agents to systems already in production. Measurable results in 4–6 weeks.
02Foundation
RAG & Knowledge Base
Search-ready knowledge from every source. Vector stores, document pipelines, and semantic retrieval for Q&A agents.
- Vector database
- Document pipeline
- Search tuning
03Performance
Performance Optimization
Tune existing agents for accuracy, latency, and cost — including prompt work, inference, and security hardening.
- Audit
- Cost reduction
- Hardening
04Operations
Monitoring & Operations
Live performance, usage analytics, and alerting so deployed agents stay observable after launch.
- Dashboards
- Alerts
- Usage reports
05Intelligence
Context & Memory
Memory and context systems that keep multi-turn agents coherent and relevant at the right moment.
- Memory design
- Context flow
- Tuning
06Efficiency
LLM Fine-Tuning & Migration
Smaller, task-fit models and migrations that cut inference cost without giving up quality.
- Fine-tuning
- Benchmarks
- Migration
Bring the brief. Leave with a build plan.
Pilot in 4–6 weeks · Expert engineering · Measurable results
Why TensorMate
Your AI partner when in-house is not enough
Skip the cost and drag of building an internal AI team. Expert-level results from the first engagement.
01
Expertise
AI experts and scientists from leading institutions.
Deep practice from research groups and product teams, applied to agent design and optimization across industries.
- AI engineers and data scientists
- Industry veterans
- Current methods, not slideware
- Proven delivery patterns
02
Reliability
Production systems you can actually run.
Agents are tested and hardened for enterprise environments, so performance stays consistent after the demo.
- Enterprise-grade testing
- Proven architectures
- Quality assurance
- Ongoing support
03
Faster time-to-value
In market before an in-house team is hired.
Skip the hiring cycle and the first year of trial and error. Production-ready agents land in weeks.
- Rapid deployment
- Pre-built frameworks
- No hiring delay
- Immediate impact
- Weeks
- Not months to deploy
- 50%+
- Cost savings vs in-house
- Expert
- Level quality from day one
FAQ
Questions, answered
How the lab works, what we build, and how engagements usually run.
Talk to the labTensorMate provides comprehensive AI agent development services including custom AI agent development, RAG system development, AI agent optimization, monitoring and operations, context engineering, and model fine-tuning. We specialize in enterprise-grade AI solutions.
We build various types of AI agents including RAG Q/A agents, booking and action agents, customer service chatbots, enterprise knowledge assistants, workflow automation agents, and multimodal AI systems. All agents are custom-built for specific business needs.
AI agent development timelines vary based on complexity: Simple optimizations: 2-4 weeks, Custom agents: 4-8 weeks, Enterprise integrations: 8-16 weeks. We work efficiently to deliver cost-effective solutions within agreed timelines.
Yes, we specialize in AI agent optimization including performance tuning, cost reduction, security hardening, accuracy improvements, and scaling existing AI agent systems. We can optimize agents built by other providers.
We use cutting-edge technologies including OpenAI GPT models, Anthropic Claude, open-source LLMs, vector databases (Pinecone, Weaviate), RAG frameworks, LangChain, LlamaIndex, and enterprise integration APIs.
Yes, TensorMate specializes in enterprise AI agent development with focus on security, compliance, scalability, and integration with existing enterprise systems. We work with Fortune 500 companies and growing businesses.
TensorMate focuses specifically on AI agent development and optimization with deep expertise in agentic AI systems, RAG implementations, and production-ready deployments. We offer both development and ongoing optimization services.
Yes, we specialize in integrating AI agents with CRM systems, databases, APIs, enterprise software, and existing workflows. Our agents can connect to virtually any business system through APIs and webhooks.
Yes, we provide comprehensive AI agent monitoring, maintenance, performance tracking, usage analytics, and ongoing optimization services. We offer both managed services and training for in-house teams.