Services/Service 02

Modernize your product. Don’t rewrite it.

AI-native features grafted onto your existing stack — incrementally shipped, behaviorally measured, and continuously improved.

AI-First Product Modernization · reference architecture
live · 110ms p95
INGRESSREASONINGACTIONAPI GatewayREST · gRPC · WebSocketIdentity / RBACOIDC · SCIM · Audit logData LakeS3 · Snowflake · KafkaVector Indexpgvector · PineconePlannerSlow · DeliberateMemoryEpisodic · SemanticExecutorFast · DeterministicTool Registry14 typed toolsGuardrailsPolicy · ApprovalsExternal APIsCRM · ERP · StripeObservabilityTraces · Replay · Evals
Latency
110ms
Throughput
42k req/min
Eval score
0.94
Cost / 1k
$0.12
The problem

AI doesn’t belong in a side panel.

Bolt-on chat boxes don’t change product metrics. Real modernization rethinks core flows.

Surface-level chat with no product context
Generative features that hallucinate against your data
No experimentation loop to measure AI feature lift
Legacy code paths that block deeper integration
Our approach

AI woven into your most-used flows.

We embed retrieval, generation, and prediction directly into the surfaces your customers already love — measurably.
Contextual copilots

Assistants that read the same state your users see.

Generative UI

Forms, dashboards, and reports composed on demand.

Predictive surfaces

Anticipate intent, pre-fill flows, reduce friction.

Experiment harness

AB-test AI behaviors with statistical rigor.

Process

From kickoff to production,
in the open.

  1. 01

    Product audit

    Map flows by usage, friction, and AI-fit.

  2. 02

    Strategy & roadmap

    Prioritize features by lift × feasibility.

  3. 03

    Integration spikes

    Prove the riskiest connections first.

  4. 04

    Shipping cadence

    Weekly rollouts behind feature flags.

  5. 05

    Measure & iterate

    Behavioral evals on every release.

Tech stack

The tools we reach
for first.

Frontend
  • Next.js
  • React
  • TypeScript
  • Tailwind
AI
  • Claude
  • OpenAI
  • Vector DBs
  • Embeddings
Backend
  • Node
  • Python
  • Go
  • gRPC
Data
  • Postgres
  • Snowflake
  • Kafka
  • ClickHouse
Benefits

What you get when this lands.

No big-bang rewrite

Incremental modernization with continuous shipping.

Real lift, measured

Every AI feature has a metric — and an off switch.

Future-ready

Architecture that absorbs new models without re-platforming.

Recent work

A real engagement
in this shape.

Nuvo Payments · Fintech

A new fraud-detection platform, deployed in 14 weeks.

We rebuilt Nuvo’s fraud platform around a real-time agentic decision engine — cutting false positives by 64% while accelerating settlement.

−64%
False positives
110ms
Decision latency
$8.4M
Annual savings
Read the case study
Nuvo Payments · agent
v2026.5
Run trace · #ag_28f1
running
plan.invoke
34ms
tool.search_kb
212ms
tool.fetch_user
88ms
guardrail.policy
12ms
tool.send_email
Eval score
0.94
Cost / run
$0.012
Approvals
3 / 3
Model
claude-sonnet-4-6
Questions

Things people
usually ask.

No. We integrate. Modernization beats rewrite — almost always.

Related

Services that
often pair with this.

Let’s scope what this looks like for you.

A 30-minute technical conversation. No slides, no salespeople.