San Diego technology consultancy · custom software · AI-amplified workflows · Forward Deployed Engineer pattern at sub-enterprise pricing · plus the SEO strategy layer to make sure the right buyers find what we build. $95-$165/hr. Async-first. No Calendly.
Operator-honest read of the current market. The good · the flag · what it means for sub-enterprise teams looking for development + visibility.
San Diego HQ · 625+ app launches · AWS-certified partner · award-winning custom software work. "Intelligent Software Systems" positioning. The trust signals are real and quantifiable.
$7.2B/yr in operator-demand just got created. Sub-enterprise SaaS + mid-size teams now need parallel custom-layer support at flexible pricing · NOT enterprise-only Palantir-scale FDE. Kromeon fits that gap.
What cost $50K-$500K in 2022 (Palantir FDE pricing) now costs $250-$2K when one operator + AI substrate ships in days. The economics shifted 90-99% · most operators are still pricing pre-AI.
Kromeon builds well · but the SEO substrate that surfaces the work to buyers searching for "AI integration", "custom software San Diego", "FDE alternative" lives at SideGuy. Both layers · one operator.
Palantir made the FDE model famous · engineers embedded with client teams to ship custom integrations. The pattern works · the pricing was the barrier. Kromeon delivers same DNA at $95-$165/hr.
Not staffing-with-handoff. Not body shop. PJ + Kromeon engineers work directly with your engineering leads · operator-translation baked into every interaction · 1-2 week ramp · async-by-default delivery.
1-12 month windows$95-$165/hr · transparent · no minimum commitment1-2 weeks · async-first onboarding · low overheadKromeon ships the engineering. SideGuy ships the SEO substrate that makes Kromeon findable. Same operator (PJ) · two service categories · parallel solutions. Here's the cluster map.
The bullseye keywords. "Custom software development San Diego" · "AI integration San Diego" · "Claude API integration consulting" · "OpenAI consulting San Diego". Decision-stage searches by mid-size SaaS founders + non-tech operators who need a builder.
custom software development san diegoAI integration consultingClaude API custom integrationOpenAI consulting · contract engineeringAWS partner san diego custom buildOperator-buyer searches for alternatives to enterprise-scale FDE. Already shipped: /problems/fde-palantir-alternative.html. Cluster expandable to Toptal · Andela · Turing alternative searches · with Kromeon's sub-enterprise pricing as the wedge.
FDE Palantir alternative (already live on SideGuy)Toptal alternative · sub-enterprise pricingAndela alternative · San DiegoTuring alternative · operator-honestForward Deployed Engineer · contract · mid-marketCalifornia passed 6 new AI laws this week (SB 53 · AB 853 · SB 243 · AB 2013 · AB 621 · SB 524). Sub-enterprise teams need engineering help to comply. Kromeon ships the integration · SideGuy ships the operator-translation guide. /services/compliance/california-ai-laws-operator-guide-2026.html already live.
SB 53 implementation engineeringAB 853 AI content disclosure toolingAB 2013 training data transparency · documentation pagesCalifornia AI law compliance · SaaS · sub-enterpriseAI chatbot disclosure implementationKromeon is AWS-certified. SEO authority pages around AWS Lambda integration · Bedrock + Claude integration · AWS HIPAA hosting · S3 + serverless AI workflows. Compounds with existing Kromeon brand credibility.
AWS Bedrock Claude integration consultingAWS Lambda AI workflow San DiegoAWS partner custom AI buildS3 + serverless AI integrationAWS HIPAA AI workflowDecision-stage buyers want honest comparison pages. "Kromeon vs Accenture" (different scale) · "Kromeon vs Toptal" (different pricing) · "Kromeon vs Cognizant" (different delivery). Operator-honest comparison wedges · per SideGuy's compliance-vendor-matcher pattern.
Kromeon vs Toptal · sub-enterprise FDEKromeon vs Andela · time zone + rampMid-market dev consultancy comparisonCustom software pricing transparency · 2026San Diego development consultancy comparisonCombined Kromeon + SideGuy engagement · dev bandwidth + SEO substrate shipped together · operator-honest.
Current Kromeon site SEO audit · GSC setup verification · keyword + competitor analysis · prospective client engineering stack scope · operator-honest yes/no on full engagement fit. $250 entry · credited toward $2K if upgraded.
5-10 new SEO pages live (cluster-mapped above) · Python toolchain for ongoing content updates · cross-link mesh wired · GSC monitoring set up. Operator-owned · Kromeon controls the substrate.
Kromeon team trained on Python tools · daily ship-and-shave automation set up · ongoing $500/mo retainer optional · operator owns the substrate · no lock-in · no platform dependency.
Three engagement shapes. Operator-honest. Start small · upgrade or walk · no Calendly · no funnel.
Honest audit of current SEO posture + engineering integration needs. Written report. Yes/no on full engagement fit. Best for: deciding whether the full $2K onboarding makes sense.
The full Kromeon + SideGuy stack. SEO pages live · engineering substrate built · operator-owned Python toolchain handed off. No retainer · no platform lock-in.
Daily automated ship-and-shave · GSC monitoring · weekly Tier-2 substrate updates. For teams that want SEO + dev compounding to keep running without operator-attention.
Most consultancies that try the FDE pattern at sub-enterprise pricing FAIL on the engineering-cost math. Senior engineers at $200/hr × 200-2000 hours = $50K-$500K · same as Palantir. The pattern stalls because the engineering bandwidth is still expensive.
The sauce that makes it work at $95-$165/hr: PJ operates with a saved-AI substrate · 6+ months of compounded doctrine library · ~450 indexed kernels · cron-automated infrastructure · the band-pattern (PJ as the operator-soul + Trilly C as the technical shredder · Pantera band-physics applied to consulting). One operator + AI substrate ships what 3-5 traditional engineers would ship in the same window. The math works because the AI-amplification factor multiplies operator-output without multiplying operator-cost.
This is NOT vanilla-AI. Vanilla Claude or ChatGPT can write code but doesn't have the operator context · the client substrate · the doctrine memory · the cross-session continuity. The saved-AI substrate compounds across engagements · pattern-recognition deepens · custom-integration insights persist. By the third engagement with a client, the AI substrate "knows" your stack at a level vanilla AI can't replicate.
Result for your team: mid-senior engineering output at sub-enterprise pricing · operator-translation built into every interaction (not bolted on) · async-first delivery that doesn't add meeting-overhead · doctrine substrate that compounds across the engagement. You're not buying engineering hours · you're buying AI-amplified operator output that happens to ship code · plus the SEO substrate that surfaces it to buyers.
/problems/fde-palantir-alternative.html/services/compliance/california-ai-laws-operator-guide-2026.html/services/compliance/Tell me your engineering scope + current SEO posture. 3-5 day signal-quality audit. Written report. Honest yes/no on whether the $2K onboarding makes sense. No Calendly, no funnel · text PJ direct · founder-to-founder.
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