GorandPut AI to work inside systems people actually rely on
We design and deploy AI agents and LLM-powered features that are tested, monitored, and owned by your team — not experiments that stall after the demo.
AI Agents
Autonomous and semi-autonomous agents that execute multi-step tasks — with guardrails and human review where it matters.
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Customer support and ticket triage agents
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Internal ops agents for reporting, scheduling, and data lookups
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Tool-using agents wired into your existing APIs and databases
LLM & RAG Integration
Connect large language models to your own data safely and accurately, with retrieval pipelines built for correctness.
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Retrieval-augmented generation over internal docs, tickets, or codebases
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Model provider evaluation and cost/latency benchmarking
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Prompt engineering, evals, and hallucination-rate monitoring
ML Pipelines
Data and training pipelines for teams building custom models, not just calling an API.
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Data ingestion, labeling workflows, and feature pipelines
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Model training, fine-tuning, and evaluation infrastructure
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Deployment, versioning, and monitoring (MLOps)
Intelligent Process Automation
Replace manual, repetitive workflows with AI-assisted automation that still has a human checkpoint.
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Document processing, extraction, and classification
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AI-assisted QA: test generation and anomaly detection
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Workflow orchestration connecting AI steps to existing tools
Copilots & Chatbots
In-product AI assistants that help your users get more done, grounded in your product's actual data.
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In-app copilots for SaaS products
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Customer-facing chatbots with escalation to human agents
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Internal knowledge-base assistants for support and engineering teams
AI adoption without the risk
Evaluated, not assumed
Every model and prompt is benchmarked against real test cases before shipping.
Monitored in production
Latency, cost, and output quality tracked continuously post-launch.
Human-in-the-loop
Guardrails and review checkpoints for anything customer-facing or high-stakes.
GDPR-aware
Data handling and model choice reviewed against European compliance requirements.
Have an AI use case in mind?
We'll give you an honest read on feasibility, timeline, and cost before you commit to anything.
Talk to an engineer