Skip to main content

​
Professional Services details

When you need more than an API, our Professional Services gives you direct access to an experienced Eden AI engineer (or a small delivery squad) to design, build, and productionize your AI capabilities—fast.

​
1) Use-case delivery (custom APIs built for your business)

We don’t just advise — we design and deliver custom AI APIs tailored to your specific business requirements. Our engineers work closely with your team to understand your workflows, data, constraints, and success criteria, then build a production-ready API that fits directly into your product or internal systems. What this typically includes:
  • A custom API endpoint designed around your use case (not a generic template)
  • Logic tailored to your business rules and edge cases
  • Model selection and routing optimized for your goals (quality, cost, latency)
  • Prompting and orchestration adapted to your domain vocabulary and data
  • Integration-ready outputs (clean schemas, predictable formats, documented behavior)
Examples of custom APIs we deliver:
  • A contract analysis API that extracts clauses specific to your legal framework
  • A customer support triage API tuned to your internal categories and escalation rules
  • A document processing API that returns structured fields unique to your workflows
  • A domain-specific assistant API trained on your internal knowledge and tone
  • A classification or scoring API aligned with your proprietary business logic
What you receive
  • A fully functional custom API endpoint
  • Technical documentation (how to use it, expected inputs/outputs)
  • Configuration inside your AI Gateway (monitoring, limits, routing)
  • A handover so your team can operate and evolve it confidently
In short: you describe the business need, we deliver the API that implements it.

​
2) Model selection, benchmarking & routing strategy

Pick the right models without guesswork. We’ll help you:
  • Define quality metrics (accuracy, safety, hallucination tolerance)
  • Run benchmarks on your real samples (cost/latency/quality)
  • Set up routing rules (fallbacks, provider failover, cost ceilings)
  • Establish a model lifecycle (how you upgrade models safely)
Outputs
  • Benchmark report (recommendations + tradeoffs)
  • Routing policy configuration
  • Rollout plan (A/B, canary, guardrail thresholds)

​
3) Production readiness & reliability hardening

Turn a prototype into something ops teams trust. We implement:
  • Observability (latency, errors, token usage, provider health, fallbacks)
  • Rate limits + quotas + spend caps by project/environment
  • Caching strategies (where appropriate) to reduce cost and latency
  • Incident playbooks (what to do when a provider degrades)
  • Regression checks for prompt/model updates
Outputs
  • Dashboards/KPIs and alerting recommendations
  • Reliability checklist + incident runbook
  • Cost controls configured and validated

​
4) Safety, compliance, and data controls (optional)

For regulated environments or sensitive data. Support can include:
  • PII handling (redaction/masking strategy, logging policies)
  • Data retention guidance (what is stored, for how long, and why)
  • Security review support (documentation, architecture notes, DPA/security questionnaires)
  • Access controls (least-privilege roles, key rotation approach)
Outputs
  • Security & data-flow documentation (shareable with your compliance team)
  • Recommended policies for logging/retention/access

​
How we work (simple, transparent)

  1. Discovery (1–2 sessions): goals, constraints, success metrics, sample data
  2. Design: architecture + model/routing plan + delivery milestones
  3. Build & iterate: weekly demos, measurable progress, rapid feedback loops
  4. Launch: monitoring, budgets, guardrails, and handover
  5. Optimize (optional): continuous improvement and cost/quality tuning

​
Engagement options

  • On-demand expert hours (ideal for reviews, troubleshooting, quick builds)
  • Fixed-scope delivery (clear outputs, timeline, and acceptance criteria)
  • Ongoing partnership (monthly retainer for continuous improvements)

​
What we’ll ask from you (to move fast)

  • A small set of real examples (inputs/outputs, edge cases)
  • Your target latency + cost expectations (even rough)
  • One technical owner for weekly feedback and approvals
Talk to a founder