Production AI isn't a chatbot bolted onto a homepage. It's agents that close tickets, copilots that draft quotes, pipelines that extract structure from mess — woven into your actual systems, with proper guardrails, evaluations and cost controls.
[ AGENT ] Idle. Ready to receive request. [ AGENT ] Model: claude-opus-4.7 | Tools: 12 | Guardrails: on
Autonomous assistants that plan, use tools and complete multi-step work — not just chat.
Native intelligence inside the apps your users already use. We embed, don't graft.
Replace fragile manual chains with resilient AI pipelines that observe, retry and recover.
The boring-but-vital glue: guardrails, observability, evals, cost and model-routing.
◆ This is a simplified reference — your actual system will be lighter or heavier depending on scale, risk and domain. We build what you need, not what looks impressive on a slide.
Route, resolve or escalate — agents that close 40–60% of routine tickets with your tone.
Draft emails, log calls, enrich leads, summarise deal rooms — right inside Salesforce / Zoho.
Extract structured data from invoices, contracts, compliance docs — with source citations.
Company-wide Q&A over wikis, tickets, Slack — grounded, cited, updated daily.
In-app AI shopping assistants that understand inventory, policy, and your brand voice.
Content moderation, policy checks, risk scoring — across text, audio and images.
Every agent & pipeline ships with a golden dataset and a regression-test harness. If model performance drops, we see it before your users do.
Safety, tone, factuality, PII — checked before every response reaches a user. Silent failure is the worst failure.
High-risk actions route to humans. Low-risk actions are monitored. No one at Techmixin ships "fire and forget" agents.
We abstract the model layer from the product layer. When a better model ships next quarter, you swap a config — not a system.
Tokens, caches, model-routing, batch jobs — we treat the OpenAI / Anthropic bill like AWS in 2012: with respect.
We use providers with data-retention controls. We avoid training on your data by default. Everything is documented in the DPA.
Tell us about it. We'll respond within 24 hours with a realistic take — whether AI will actually help, what it'll cost, and the smallest useful thing we could ship first.