Built for engineers.
Ship AI features with the ergonomics you already love. Flyps unifies the tools, data and AI leverage your engineering team needs β so operators ship faster, leaders forecast with confidence and every workflow is instrumented for measurable business impact.
Overview
Why engineering teams choose Flyps.
Engineering teams operate at the intersection of many systems β CRM, ticketing, warehouse, marketing tools β and are usually asked to deliver more with the same headcount. Flyps consolidates that stack and adds AI leverage in the workflows where it matters, so the team spends less time in tools and more time on outcomes.
The result is a shared operating layer for engineering: grounded, on-brand AI that respects your policies; automations that handle exceptions instead of breaking on them; and dashboards leadership actually uses because they answer real business questions.
4Γ
faster time-to-value
5+
tools consolidated
99.99%
uptime
SOC
2 Β· HIPAA Β· ISO
The challenges
What teams like yours struggle with.
Fragmented tools
Every function runs its own point solutions with no shared context.
Slow to ship AI
AI projects stall between prototype and production for months.
Governance gaps
No unified way to enforce policy, privacy or brand consistency.
How Flyps solves it
One platform, purpose-built for engineering.
Unified platform
One system of record so every workflow shares data and identity.
Ship in days
Reusable building blocks let teams launch AI features in an afternoon.
Trust built in
Central policy, audit and BYO key controls across every product.
Recommended products
Your Flyps starter kit.
Developer Platform
AI API
A unified API for every model and tool
ExploreDeveloper Platform
Developer SDK
First-class SDKs for TypeScript, Python and Go
ExploreDeveloper Platform
AI Integrations
First-party connectors to every SaaS you use
ExploreDeveloper Platform
Webhooks
Reliable event delivery at scale
ExploreTechnology
The technology stack behind Engineering.
Every Flyps deployment for engineering runs on the same production-grade primitives β proven at scale in regulated industries, engineered for portability and instrumented end to end.
- Warehouse-native execution on Snowflake, BigQuery, Databricks and Postgres
- Model routing across OpenAI, Anthropic, Google and self-hosted providers
- Typed function calling to 300+ integrations with JSON Schema validation
- Retrieval-augmented generation with hybrid vector and keyword search
- OpenTelemetry-native traces, evals and replay for every AI action
- SAML SSO, SCIM, row-level security and audit trails end to end
- SOC 2 Type II, ISO 27001 and HIPAA-eligible β ready for engineering compliance requirements
Delivery process
How our team ships engineering outcomes.
A repeatable, five-stage engagement model that puts your engineering, operations and compliance stakeholders in the loop from day one.
1
Discovery
We map the engineering workflows where AI creates leverage, and the systems of record it must call.
2
Design
Reference architectures and templates tailored to your team, size and industry accelerate the design phase.
3
Build
Compose typed workflows, wire integrations and configure policy in a shared workspace your team owns.
4
Evaluate
Offline evaluation suites, canary traffic and shadow runs validate quality before customer-facing rollout.
5
Deploy
Staged rollouts and full-fidelity observability let on-call scale confidently from one team to the org.
Expected results
Business impact you can measure.
What engineering teams typically achieve in the first two quarters on Flyps β measured against the KPIs already on your leadership dashboard.
5 days
from prototype to production
4Γ
faster time-to-value for engineering workflows
5+
point tools consolidated per team
99.99%
uptime across every production workspace
Case study
5 days
from prototype to production
"The SDK is the best I've used since Stripe."
Yuki Tanaka, Staff Engineer
Client challenge
Prisma was running a fragmented engineering stack β multiple point tools, disconnected data and manual handoffs β that couldn't keep up with growth or leadership's reporting needs.
Solution approach
Their team standardized on Flyps to consolidate workflows, ground AI in first-party data and instrument every step for measurable outcomes β replacing custom glue code with typed, reusable building blocks.
Technologies used
The rollout combined ai-api, developer-sdk, ai-integrations on Flyps' shared runtime, integrated with the team's existing warehouse, CRM and identity provider, and governed by a central policy engine.
Development process
Discovery mapped the top three engineering workflows; reference architectures accelerated design; offline evaluations validated quality before a staged rollout with canary traffic and full observability.
Business impact
Within one quarter, Prisma reached 5 days from prototype to production β while retiring multiple internal tools, cutting operational cost and freeing the team to focus on higher-leverage work.
Benefits
What you'll ship with Flyps.
The six outcomes engineering leaders report most often after standardizing their team on Flyps.
Consolidate the stack
Retire 4β7 point tools your engineering team is stitching together today.
Ship faster
Launch AI-powered workflows in an afternoon using typed building blocks instead of custom code.
Governed by design
Central policy, audit and role-based access across every action β no manual review bottlenecks.
Measurable outcomes
Every workflow is instrumented against business metrics your leadership already tracks.
Human-in-the-loop where it counts
Sensitive actions route to approvers with full context β no more Slack DMs for context.
Portable and open
Bring your own models, warehouse and identity provider β no vendor lock-in.
Integrations
Fits into the stack you already run.
FAQ
Common questions.
The questions engineering leaders, engineering managers and security reviewers ask most often β with detailed answers on process, technology, timelines and compliance.