Questions, answered.

Most projects ship initial production cuts in 4-6 weeks. Full engagements — from first call to fully-tuned, monitored system — average 10-14 weeks. We plan in 2-week sprints and you see working demos every Friday.

Engagements start at $40,000 USD for scoped builds and run to $300,000+ for multi-quarter partnerships. Discovery is free. We send a fixed-scope written proposal within a week of the first call.

We strongly prefer fixed-scope. It aligns us on outcomes, not hours. Most engagements use a fixed quote with clearly-defined milestones and deliverables.

Yes. Minimum engagement is $40,000. Smaller projects help both sides validate fit before committing to larger builds.

You own the code, infrastructure, and model choices. We offer optional retainers for ongoing evaluations, cost optimization, and feature work. Most clients stay on at a reduced retainer for 6-12 months post-launch.

Whichever your problem actually needs. We benchmark across OpenAI, Anthropic, Meta Llama, Mistral, and open-source alternatives. Most of our production systems dynamically route between 2-3 models based on task, cost, and latency requirements.

RAG in 80% of cases, fine-tuning when there is a clear task specialization need with sufficient training data. We do not fine-tune as a default — it increases cost and reduces flexibility.

Node.js or Python backend, Postgres or Pinecone for storage, LangGraph or Temporal for orchestration, Langfuse for observability. We pick the tool per job, not based on vendor loyalty.

Yes. Roughly 60% of our work extends existing systems rather than replacing them. We integrate with Snowflake, Salesforce, Postgres, AWS, and most common enterprise tools.

Yes. We build voice agents on OpenAI Realtime, ElevenLabs, and Twilio, with custom routing logic and fallback to human agents. Typical deployment: 60% of inbound calls fully automated.

Always. Mutual NDA before the first working session. We can also sign your NDA template if you have a preferred form.

We follow SOC 2 Type II-aligned practices internally. For client engagements requiring certified SOC 2 infrastructure, we deploy within your existing certified environment.

Client data stays within your infrastructure whenever possible. Where we need access, we use least-privilege credentials, encrypted connections, and audit all access. We do not retain client data after engagement end.

No. We use enterprise API tiers from all providers, which guarantee your data is not used for training. For additional safety, we support Azure OpenAI, AWS Bedrock, and on-prem Llama deployments.

Yes. We have worked with HIPAA-aligned healthcare clients, PCI-DSS FinTech clients, and banking compliance frameworks. We sign BAAs where required.

Six senior engineers by design. We stay small on purpose — every client works directly with the people building their system.

No. All engineering is done in-house by full-time Eazyware engineers. We never outsource or subcontract.

Yes. About 60% of our engagements pair our engineers with client engineering teams. We write documentation that your team will still read a year later.

Our team operates from IST, GMT, and EST. At least one engineer is typically available during your working hours, regardless of location.