05 / 07Service
Data Intelligence
Your knowledge, instantly queryable.
What's included
Built for production from day one.
Every feature ships with evaluation harness, observability, and cost budgets — not as afterthoughts.
/ 01 · Feature
RAG-based knowledge assistants
Live throughputlive
94%
Search relevance
/ 02
Document intelligence (PDFs, contracts)
typedevaluatedlogged
/ 03
Semantic search systems
accuracy94%
/ 04
Internal AI knowledge bases
How it works
Three moves. One outcome.
01
Connect
API keys, data sources, your existing systems.
02
Configure
Prompts, guardrails, evals, cost budgets.
03
Operate
Monitor, tune, retrain. Production observability.
Engagement timeline
What 14 weeks with us looks like.
Timelines are estimates for a typical engagement. We send a fixed-scope plan before kickoff.
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
W13
W14
Wk 1–2
Discovery
Lead + PM
Wk 3–4
Architecture
Lead + Eng
Wk 5–6
Build · Sprint 1
2 Eng
Wk 7–8
Build · Sprint 2
2 Eng
Wk 9
Evals & Hardening
Lead
Wk 10
Production Launch
Full team
Wk 11–14
Scale & Tune
Retainer
Benchmarks
How we compare to the industry average.
Dimension
Performance
Δ
Time to first production demo
5.0×Eazyware
2wks
Industry
10wks
Time to first production demo
Eazyware
2wks
Industry
10wks
5.0×
Full engagement duration
2.6×Eazyware
10wks
Industry
26wks
Full engagement duration
Eazyware
10wks
Industry
26wks
2.6×
Post-launch retention
+100%Eazyware
82%
Industry
41%
Post-launch retention
Eazyware
82%
Industry
41%
+100%
Avg. uptime achieved
+2%Eazyware
99.95%
Industry
98.2%
Avg. uptime achieved
Eazyware
99.95%
Industry
98.2%
+2%
Model cost optimization
+4200%Eazyware
42%
Industry
0%
Model cost optimization
Eazyware
42%
Industry
0%
+4200%
* Industry averages sourced from Gartner, McKinsey, and our partner network · 2025
Stack decisions
The picks behind every engagement.
Opinionated, but justified. Every choice has measurable reasoning behind it.
Task
Our pick
Considered
Reasoning
Task
LLM provider
Our pick
PineconeConsidered
Single-vendor lock-inRoute between providers per task for cost + accuracy
Task
Vector storage
Our pick
Pinecone / pgvectorConsidered
Weaviate, QdrantManaged + cheap at scale, with hybrid search
Task
Orchestration
Our pick
LangGraph + TemporalConsidered
Plain cron / ZapierTyped graphs, replayable, observable, fail-safe
Task
Observability
Our pick
Langfuse + DatadogConsidered
Console logsEvery prompt traced · token cost + latency dashboards
Task
Eval harness
Our pick
Custom + BraintrustConsidered
Ship and prayVersioned prompts with regression tests before merge
Tech we use
Battle-tested. Not bleeding-edge for its own sake.
PineconeWeaviatepgvectorUnstructuredLlamaIndexPostgreSQLTypeScriptDockerGitHub ActionsSentry
Real outcomes
Measured, not marketed.
0%
Search relevance
0M+
Docs indexed
0s
Time-to-answer
/ Next step
Talk to us about data intelligence.
30-minute scoping call. We'll outline the build, the cost, and whether we're the right fit.
~4h
avg response
Q2 '26
next slot
100%
NDA on request