NDA & DPA before production data
Mutual NDA for discovery and a DPA before we process production payloads at scale. Client paper is supported.
About Databotiq
About Databotiq
Databotiq exists because AI decisions should be made on measured behaviour in your environment, not on generic benchmarks or vendor theatre. We are an AI-first build studio for startups and small to mid-sized teams. We build integrations, workflows, document pipelines, grounded assistants, and agents with policies your team can actually review.
How we engage
- Rapid POC when the question is uncertain.
- Fixed-scope sprints with weekly demos when scaling to production.
- Small teams with explicit ownership, not large benches with diffuse accountability.
Average reply time: one business day.
Why we exist
Decisions on measured behavior, not vendor theater.
We start with a Rapid POC when the question is uncertain, then expand through fixed-scope sprints with weekly demos. We bias to small teams with explicit ownership rather than large benches with diffuse accountability. The unglamorous parts of AI (integrations, exception queues, runbooks, evaluation harnesses) are where projects either survive contact with reality or quietly stall.
How we work, end to end
From first call to long-running production.
The same four checkpoints we run with every client. Written here so you can hold us to them.
01
Rapid POC (14 days)
Fixed scope, fixed price. We build a working version on a slice of your real data. You get outputs you can show internally, plus an honest go or no-go recommendation.
02
Architect with you
We design the production version with your team. Systems involved, risks, the small set of metrics that define success, and what we will hand over at the end.
03
Build and integrate
Weekly demos, integrations as deliverables, and a human review queue until the metrics stabilise. No big-bang launch, no surprises on go-live day.
04
Operate and improve
Monitoring, evaluation loops, and quarterly reviews so the model, retrieval, and policies keep pace with your real traffic and your real customers.
Security, IP, and data handling
How we protect your data while we ship.
Your operations, IT, and legal team should be able to read this section in one pass. Here is exactly how we operate today.
Customer-controlled deployments
Deployments can live in your AWS, Azure, or GCP tenancy when residency or sovereignty constraints require it.
Audit trails for model decisions
We log prompts, tool calls, retrieved sources, and outcomes so you can explain decisions to security and finance.
We do not publish specific compliance badges unless they are true for the deployment you choose. Ask us on the call and we will tell you exactly what applies to your program.
Who you work with
References and social proof
We can provide anonymised references and engagement patterns under NDA. Public case studies on this site are illustrative composites. See the case study index disclaimer for details.
FAQ
Common questions about working with us.
Where we operate, how we staff, who we serve, and how to engage. If something isn't covered here,ask us directly.
Where are you based?
We work with startups and small to mid-sized teams internationally. Legal entity details appear in contracts. Marketing stays outcome-first unless geography matters to your program.
Do you outsource delivery?
Core architecture and implementation are Databotiq-led. We bring specialists when a program requires narrow depth, always disclosed and governed under the same agreements.
What industries do you serve?
We focus on e-commerce and DTC, agencies and professional services, B2B SaaS, logistics, freight and 3PL, and property and real estate. The pattern is always the same: messy data, real integrations, measurable outcomes.
How do we engage?
Contact us with your outcome and constraints. If a Rapid POC is the wrong tool, we will say so directly.
Talk with us about your next program.
A short note is enough. We will reply within one business day with a clear next step, usually a short scoping call.