Practical AI for everyday business workflows.
No demos. No chat-bots that hallucinate. We ship narrow AI integrations that save real hours — typically inside your existing tools (Sheets, Slack, your CRM) so adoption is zero-friction.
Use cases we've shipped.
Resume & document parsing
Auto-extract structured fields from resumes, invoices, contracts. We use Gemini Flash for cost — falling back to regex for resilience.
Sourcing copilots
LLM-assisted candidate matching against your JD. Surface the top 10 from a pool of 1,000 with reasoning you can audit.
Support triage & routing
Classify and summarize inbound tickets. Auto-draft responses for common queries; escalate the rest to humans with context.
Ops & workflow automation
Connect Sheets, Slack, email, and your CRM with LLM-generated summaries, reports, and routine actions.
Cost, latency, accuracy — in that order.
We default to Gemini Flash for high-volume, low-cost parsing. Claude when reasoning quality matters (matching, summarization). OpenAI when an existing integration locks us in. We also fall back to regex / classical NLP when an LLM is overkill.
- Cost ceiling agreed up-front — no API-bill surprises
- Fallback paths for every LLM call (no hard dependency)
- Audit logs for every model call (what was sent, what came back)
- Human-in-the-loop on irreversible actions, always
AI resume parsing
Our recruiters drop a resume PDF, Gemini extracts 14+ structured fields, candidate row is pre-filled. We review and save. What used to take 8-12 minutes per candidate now takes ~30 seconds.
Stack
Next.js · Supabase · pdf-parse · mammoth · Gemini 2.5 Flash
Your data. Your rules.
Every AI-powered feature runs on inference-only pipelines. Here's exactly what that means for your business.
Will our data be used to train public AI models?
No. Your data is never retained for model training, fine-tuning, or benchmarking — by us or by any underlying model provider. Each query is stateless. When the task is done, the context is discarded.
Who can access the data we send through your AI tools?
Only the systems required to complete your specific request. We do not share, sell, or cross-reference client data between engagements. Your infrastructure details, candidate pipelines, and business logic stay yours.
Where is our data processed and stored?
AI inference runs within isolated, short-lived execution environments. We do not build persistent data stores from client inputs. Outputs are delivered directly to your environment.
What if we have enterprise compliance requirements (SOC 2, GDPR, ISO 27001)?
We scope each engagement with your compliance requirements before going live. Custom data handling agreements are available. Talk to us before you start — not after.
Our commitment: We treat your business data the way we'd want our own treated — with zero tolerance for leakage, and nothing left running when the job is done.
Have a workflow that's ripe for AI?
Send us a 2-line description. If we think it's a good fit, we'll come back with a fixed-scope proposal. If not, we'll tell you what to try instead.