Support queues grow faster than the team can clear them
← All industriesAI for IT & Tech
Your backlog grows faster than your team can ship.
Custom copilots, RAG assistants and DevOps automation grounded in your codebase and knowledge — deployed on any cloud.
- SOC 2
- Private deploy
- SSO / RBAC
- Any cloud
70%tickets auto‑solved
Active agents
Custom Copilotslive
RAG Knowledgerunning
DevOps Automationlive
Code Review AIrunning
Where it & tech teams lose time & money
Support tickets never stop, tribal knowledge lives in people's heads, and incidents pull engineers off the roadmap — so releases keep slipping.
Knowledge is scattered across wikis, tickets and repos
Incidents and toil steal time from the roadmap
Generic tools don't know your product or codebase
AI solutions for IT & Tech
Everything we design, build and ship for it & tech teams — production‑grade and accountable.
Custom Copilots
Assistants fine‑tuned on your product, docs and tone that take real actions.
RAG Knowledge
Grounded answers from your wikis, tickets and repos — with citations.
DevOps Automation
Agentic pipelines for triage, incident response and release notes.
Code Review AI
Automated review for bugs, security and style before humans look.
MLOps & Cloud
Deploy, monitor and scale models on AWS, GCP or Azure reliably.
Anomaly Detection
Spot outages, drift and threats in logs and metrics in real time.
See IT & Tech AI in action
An interactive, illustrative look at what we build and deploy.
Support Copilot
LiveTicket #4821 — Staging deploy
70%
Auto-solved
Conversation
Deploy failing on staging — 502s across the board 😖
Root cause found. Release v2.3 shipped a bad DB pool config — connections are maxing out, so the gateway returns 502s. Safest fix is a rollback while I patch the pool size.
Rollback release v2.3
Rollback release v2.3
Runbook log
$ deploy rollback v2.3 --staging
↺ reverting pods (3/3) …
✓ health check passed
Resolved in 38sNo human handoff required
From data to outcome
A transparent, production‑ready pipeline for it & tech — no black boxes.
Connect
Index your repos, docs and tools securely.
Build
Ground a copilot with RAG and guardrails.
Deploy
Ship to your cloud, chat or IDE.
Monitor
MLOps keeps quality climbing after launch.
The difference, line by line
We don't rip out your stack — we plug in and do the work your team dreads.
Doing it manuallyWith BounceBack AI
Tier‑1 support✕ Every ticket hits a human✓ 70% auto‑resolved, cited
Knowledge search✕ Ask around Slack✓ Grounded answers with sources
Incident response✕ Manual triage at 2am✓ Agentic triage & summaries
Code review✕ Waits on a reviewer✓ AI pass before humans look
Deployment✕ One‑off scripts✓ Monitored MLOps on any cloud
From audit to production
A proven delivery process for it & tech — working software in weeks, not months.
Stack & Workflow Audit
Review your repos, tools and support flow to find the highest‑leverage AI.
Grounded Design
Architect RAG, guardrails and access control around your knowledge.
Build & Evaluate
Ship the copilot and measure answer quality against real tickets.
Deploy & Monitor
Roll out to your cloud/IDE and keep quality climbing with MLOps.
Outcomes teams actually see
70%tickets auto‑solved
4.2×faster ops
−35%incident MTTR
99.9%uptime
Teams already shipping with us
“The copilot answers from our own docs with citations — tier‑1 volume dropped 70% and our engineers got their focus back.”
VP EngineeringB2B SaaS Platform
“Agentic incident triage summarises and routes before anyone wakes up. MTTR is down by a third.”
Head of PlatformFintech Scale‑up
Questions teams ask us
Where does it run?
Your cloud or ours — AWS, GCP or Azure, with private/VPC deployment and SSO/RBAC when you need full control.
How do you stop hallucinations?
Answers are grounded in your sources with retrieval and guardrails, and every response carries citations you can verify.
Can it use our codebase and docs?
Yes — we index your repos, wikis and tickets so the copilot is grounded in how your product actually works.
How do you measure quality?
We evaluate against real tickets and questions before launch, then monitor answer quality and drift continuously.
◆ Let's build
Ready to put AI to work in your industry?
Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.
- Free AI auditWe map the highest-ROI AI opportunities across your workflows.
- Prototype in weeksA working proof-of-concept on your real data before you commit.
- One accountable teamStrategy, models, data and deployment — end to end.
120+ teams shipped across 6 industries
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